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Open Access Article

1 - Comprehensive Interactive Maturity Model for Mobile government
fateme saghafi Mahdi Fasanghari

Growing development of wireless technologies with a distinctive feature of this technology and the extent of spatial independence of its influence among the people have caused governments to move towards the use of this technology in their services and transactions. Mea More

Growing development of wireless technologies with a distinctive feature of this technology and the extent of spatial independence of its influence among the people have caused governments to move towards the use of this technology in their services and transactions. Measuring the growth rate in the state offering these services require the m-government maturity model. The aim of this study is providing a model for m-government maturity with considering the strength and deleting the weaknesses of existing models. Scientists have developed many e-government maturity models but only two m-services models. In this article, e-government maturity models and the experiences of other countries are studied and analyzed with met synthesis method mobile. Then the results are validated by questionnaires and surveys with experts opinion and using appropriate tests. The results showed the Stages of this model are: Presence and release of information, interaction, transaction, vertical integration, horizontal integration, portal, Personalizing, optimization and innovation services. Three stages of transparency, accountability and democracy in this model, are parallel to the previous steps. Implementation of these three steps illuminates the roles of government in citizen’s interactions. While in the 8 previous section, citizens are considered as service recipient. Manuscript profile

Open Access Article

2 - Model to improve banking by Using customer knowledge management and Mobile Banking and Its Impact on Customer Loyalty
narges rezaei malek

With progress of communication technology in the past two decades, use of ICT has become a success factor in the world of competition. To increase competition in the banking industry of Iran, many banks are willing to offer a unique service to their customers. Investmen More

With progress of communication technology in the past two decades, use of ICT has become a success factor in the world of competition. To increase competition in the banking industry of Iran, many banks are willing to offer a unique service to their customers. Investment of private banks has concentrated on the presenting special services. That has led to more successful in attracting and retaining customers. To evaluate the influencing factors on banking services improvement, information technology and knowledge management as key factors were identified. This paper is to identify the most effective indicators to assess the impact of knowledge management and information technology for improving customer service of bank on customer satisfaction.180 experts of Bank Mellat is selected as population. Sample size was calculated by using a random sampling method. 130 samples were obtained but 120 questionnaires Were returned. Data were collected through questionnaires. In order to analyze the data from the structural equation modeling and LISREL software was used. In order to ensure the accuracy of the results and sensitivity analysis, regression analysis were applied. Finally, the results show that the customer knowledge management and mobile banking have positive effect on performance of banking service, and improving this kind of services have positive effects on customer satisfaction. Manuscript profile

Open Access Article

3 - Present an Initial Estimation Method for Logical Transaction-based Software Projects
mehrdad shahsavari

The first and most basic requirement for successful entry of a project, is have a realistic and reasonable estimation. In this paper, in order to increase accuracy of software projects estimation and reduce complexity of estimation process, we introduce a method called More

The first and most basic requirement for successful entry of a project, is have a realistic and reasonable estimation. In this paper, in order to increase accuracy of software projects estimation and reduce complexity of estimation process, we introduce a method called the "Logical Transaction Point (LTP)". Our method is most appropriate for transactional software. By use of this method can estimate the total size of use-case's and size of the whole software. In this paper we will prove the more accurate the same technique as UCP method and Due to more transparency and simplicity, its deployment is easier. We provide the main basis for this method, the degree of functional point analysis (FPA) and estimation the degree of use case point (UCP). Manuscript profile

Open Access Article

4 - Improvement of mean shift tracker for tracking of target with variable photometric pattern
Payman Moallem javad abbaspour alireza memarmoghada masoud kavoshtehrani

The mean shift algorithm is one of the popular methods in visual tracking for non-rigid moving targets. Basically, it is able to locate repeatedly the central mode of a desirable target. Object representation in mean shift algorithm is based on its feature histogram wit More

The mean shift algorithm is one of the popular methods in visual tracking for non-rigid moving targets. Basically, it is able to locate repeatedly the central mode of a desirable target. Object representation in mean shift algorithm is based on its feature histogram within a non-oriented individual kernel mask. Truly, adjusting of the kernel scale is the most critical challenge in this method. Up to now, no methods are presented that can perfectly as well as efficiently adjust and adapt the kernel scale during track when a target is resized. Another problem of mean shift tracking algorithm will be encountered whenever photometric properties of target texture changes. In order to solve these problems, this paper presents a modified mean shift tracking algorithm that is used a robust adaptive sizing technique. It can also cope with photometric changes of target template by adapting of its model in every frame of image sequence. In our proposed method, at first, the target window is adaptively resized with respect to spatio-temporal gradient powers of its pixel intensities in current frame and then mean shift algorithm is consequently applied to the resulted sizing window. Compared to standard mean shift algorithm, experimental results show that our proposed method, not only reduces center location errors of target, but also efficiently track it in the presence of changing illumination. Manuscript profile

Open Access Article

5 - Determination of Optimum SVMs Based on Genetic Algorithm in Classification of Hyper spectral Imagery
farhad samadzadegan hadise hassani

Hyper spectral remote sensing imagery, due to its rich source of spectral information provides an efficient tool for ground classifications in complex geographical areas with similar classes. Referring to robustness of Support Vector Machines (SVMs) in high dimensional More

Hyper spectral remote sensing imagery, due to its rich source of spectral information provides an efficient tool for ground classifications in complex geographical areas with similar classes. Referring to robustness of Support Vector Machines (SVMs) in high dimensional space, they are efficient tool for classification of hyper spectral imagery. However, there are two optimization issues which strongly effect on the SVMs performance: Optimum SVMs parameters determination and optimum feature subset selection. Traditional optimization algorithms are appropriate in limited search space but they usually trap in local optimum in high dimensional space, therefore it is inevitable to apply meta-heuristic optimization algorithms such as Genetic Algorithm to obtain global optimum solution. This paper evaluates the potential of different proposed optimization scenarios in determining of SVMs parameters and feature subset selection based on Genetic Algorithm (GA). Obtained results on AVIRIS Hyper spectral imagery demonstrate superior performance of SVMs achieved by simultaneously optimization of SVMs parameters and input feature subset. In Gaussian and Polynomial kernels, the classification accuracy improves by about 5% and15% respectively and more than 90 redundant bands are eliminated. For comparison, the evaluation is also performed by applying it to Simulated Annealing (SA) that shows a better performance of Genetic Algorithm especially in complex search space where parameter determination and feature selection are solve simultaneously. Manuscript profile

Open Access Article

6 - A Model for impacts of Investment in IT on customer satisfaction, using Structural Equation Modeling and Path Analysis
jafar bagherinejad behtaj rasouli

In a research, that this paper reflects its results, a model for stating the relationship between investment in IT and customer satisfaction was developed. This study starts with extensive literature review on investment in IT and customer satisfaction. Then, a conceptu More

In a research, that this paper reflects its results, a model for stating the relationship between investment in IT and customer satisfaction was developed. This study starts with extensive literature review on investment in IT and customer satisfaction. Then, a conceptual model with four criteria (including Economic, educational, diffusion of ICT and telecommunication) and one latent variable (indicator of customer satisfaction) were designed. This model’s primary validity was approved through expert opinion. Then, in a field study in the organization under study, the required data have been gathered for testing functional approval of the model. In the next stage of research, by using SEM techniques and interactive regression equation in the form of path analysis and using the software like SPSS and LISREL , we concentrated the factors of relationship between latent variable and observed variables. The finding of the research shows direct relationship between economic and educational factors of IT investment on customer satisfaction. Manuscript profile

Open Access Article

7 - Proposing a model for IT services based assessment approach, based on IT Governance Model
seyyed ahmad tabatabaei skch skch

Nowadays one of the biggest problems of IT organizations in less developed countries is paying too much attention to infrastructure and technology of organizations. This is due to the point that many managers in organizations believe that existence of IT infrastructure More

Nowadays one of the biggest problems of IT organizations in less developed countries is paying too much attention to infrastructure and technology of organizations. This is due to the point that many managers in organizations believe that existence of IT infrastructure and technology by itself is a sign of maturity of an organization. Although technical facilities and infrastructure such as networks, hardware, software etc., is essential for providing appropriate services and optimal performance, but these features cannot provide a competitive advantage and increase the maturity of the organization. The missing link in these organizations, which have been less considered, is how to use these features to achieve organizational goals. In different areas, there are several standards and optimal methods for defining and optimizing processes. Some of the most complex models which should be considered in different units of information technology are, models and frameworks related to IT governance. IT governance focuses on implementation and management of quality of IT services so as to meet business needs. IT governance is done by service providers through an appropriate combination of people, process and information technology. The purpose of this paper is to examine different models and frameworks of IT governance models, in order to propose a framework for assessing IT services Manuscript profile

Open Access Article

8 - Iran's Mobile Government Ecosystem Model, Stakeholders Identification and Analysis
ali hakimjavadi mehdi sepehri

Mobile Government Ecosystem is one of the emerging ecosystems in Iran. The purpose of this paper is to identify and analyze the structure and identifying the role of each of the key stakeholders of this ecosystem. In order to achieve this purpose, by studying the relate More

Mobile Government Ecosystem is one of the emerging ecosystems in Iran. The purpose of this paper is to identify and analyze the structure and identifying the role of each of the key stakeholders of this ecosystem. In order to achieve this purpose, by studying the related literatures and the models presented in these literatures, a mobile government ecosystem conceptual model is proposed, where four new key stakeholders are introduced: new trends in over the top (OTT) services, innovation and innovators, advertisement and advertisers, and mediators. Then, a questionnaire is designed to verify the factors identified in the model and to examine the effects of these factors on the mobile government ecosystem. The questionnaire was distributed to a random sample of 400 experts, where 363 responses were collected, and analyzed based on structural equation modeling. The results show that with the exception of advertisement and advertisers, the three other key stakeholders have significant coefficients in the model. Manuscript profile

Open Access Article

9 - Adaptive rotation models and traffic patterns to reduce light loss in networks on optical chip
bahareh asadi midia reshadi Ahmad khademzade mostafa karbasi

20.1001.1.27170411.1397.10.35.3.9

Large number of processing cores integrated into a single chip have high growth rates. Networks on an optical chip are one of the simplest ways to solve the addressing problem between bulk interconnected networks. That's why high-performance, high-bandwidth multi-proces More

Large number of processing cores integrated into a single chip have high growth rates. Networks on an optical chip are one of the simplest ways to solve the addressing problem between bulk interconnected networks. That's why high-performance, high-bandwidth multi-processor chips will be needed in the future. Optical chip networks were introduced as a new generation of on-chip networks that overcome all the limitations of this type of network and have many advantages such as high communication bandwidth, low transmission delay. And power consumption is low. On the other hand, networks on optical chips have challenges, one of the most important of which is the routing of optical data in the optical layer, because how the path is selected affects the optical loss factor. In this paper, routing algorithms free from the impasse of adaptive rotational models, circuit switching and various traffic patterns to reduce light loss in the optical layer by considering a 5-port unobstructed router and two-dimensional grid or Mesh will be provided. Finally, we compare the simulation results with similar methods such as the XY-based algorithm and examine the improvements obtained. Manuscript profile

Open Access Article

10 - Persian digit recognition system in aerial writing based on depth image
reza maleki Shahram Mohammadi

20.1001.1.27170411.1397.10.35.5.1

Recognizing handwriting on paper, screen or in the air are some of the challenges in machine vision. Recognizing aerial text has many challenges due to its three-dimensional nature. In this research work, Persian digit recognition is considered in aerial text in which t More

Recognizing handwriting on paper, screen or in the air are some of the challenges in machine vision. Recognizing aerial text has many challenges due to its three-dimensional nature. In this research work, Persian digit recognition is considered in aerial text in which the user writes the digits zero to nine in front of the Kinect sensor in the air and the system is able to detect the above digits using the sensor depth information. In the proposed system, the k-means automatic clustering method is used to separate the hand and fingertip from the background, the proposed linear slope change method is used to extract the feature, and the hidden Markov model (HMM) category is used to identify the feature and figure. The detection accuracy of the proposed system for Persian cultivars with local database and 10-fold cross-validation is 98%. The proposed system was compared with the results of several similar works, these comparisons show that the proposed system works relatively better than the systems under comparison. Manuscript profile

Open Access Article

11 - Understanding the users’ initial trust of social networks
Mohsen Akbari kamran zahedfar zahra ayagh

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 t More

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. Manuscript profile

Open Access Article

12 - Determining the factors affecting the collective financing of knowledge-based IT companies
Ali Haji Gholam Saryazdi ali rajabzadeh ghotri alinaghi mashayekhi alireza hassanzade

20.1001.1.27170411.1397.10.37.4.4

The method of crowdfunding in the world has expanded rapidly due to the need for financing in the early stages of start-up businesses as well as advances in information technology. In Iran, several financing platforms have been established so far, some of which have bee More

The method of crowdfunding in the world has expanded rapidly due to the need for financing in the early stages of start-up businesses as well as advances in information technology. In Iran, several financing platforms have been established so far, some of which have been successful and some of which have been unsuccessful. Therefore, it is necessary to help the development of this method by examining the factors affecting it. Since mass financing is a new and new phenomenon, it is necessary to increase its awareness in the society in an appropriate way while determining the factors affecting this method. The collective modeling method is based on social networks and the Web 2 with the aim of recognizing new phenomena. Therefore, in this article, using collective modeling, the factors affecting crowdfunding in Iran in order to support start-up companies in the field of IT are discussed. Manuscript profile

Open Access Article

13 - Learning to Rank for the Persian Web Using the Layered Genetic Programming
Amir Hosein Keyhanipour

Learning to rank (L2R) has emerged as a promising approach in handling the existing challenges of Web search engines. However, there are major drawbacks with the present learning to rank techniques. Current L2R algorithms do not take into account to the search behavio More

Learning to rank (L2R) has emerged as a promising approach in handling the existing challenges of Web search engines. However, there are major drawbacks with the present learning to rank techniques. Current L2R algorithms do not take into account to the search behavior of the users embedded in their search sessions’ logs. On the other hand, machine-learning as a data-intensive process requires a large volume of data about users’ queries as well as Web documents. This situation has made the usage of L2R techniques questionable in the real-world applications. Recently, by the use of the click-through data model and based on the generation of click-through features, a novel approach is proposed, named as MGP-Rank. Using the layered genetic-programming model, MGP-Rank has achieved noticeable performance on the ranking of the English Web content. In this study, with respect to the specific characteristics of the Persian language, some suitable scenarios are presented for the generation of the click-through features. In this way, a customized version of the MGP-Rank is proposed of the Persian Web retrieval. The evaluation results of this algorithm on the dotIR dataset, indicate its considerable improvement in comparison with major ranking methods. The improvement of the performance is particularly more noticeable in the top part of the search results lists, which are most frequently visited by the Web users. Manuscript profile

Open Access Article

14 - Modification of medium transfer detector for target tracking with variable radiation pattern
Payman Moallem عليرضا معمارمقدم جواد عباس پور masoud kavoshtehrani

20.1001.1.27170414.1391.4.14.1.8

One of the conventional methods in the field of image tracking of non-rigid targets is to use a repetitive procedure called average transfer in determining the central mode position of the target. The display of the target in the average transfer tracker is based on the More

One of the conventional methods in the field of image tracking of non-rigid targets is to use a repetitive procedure called average transfer in determining the central mode position of the target. The display of the target in the average transfer tracker is based on the histogram of spatial interpolation feature with a direction-independent kernel. The most critical challenge in the medium transfer detector is the kernel scaling. So far, no efficient and perfect method to adjust or adapt the kernel dimensions when the target dimensions change has been presented. Another problem of the average transmission detector occurs when facing a target with a variable radiation pattern. In this article, with the approach of solving these problems, the average transmission tracking algorithm with strong adaptive scaling is presented, while it solves the problem of the average transmission algorithm in the face of changes in the radiation pattern of the target by adapting the target model in each frame. In the proposed method, the dimensions of the window in the next frame are set first by using the power calculation method resulting from the time-space derivatives of the intensity of the image pixels. Then, the results of the window scaling in the next frame are applied to the average transfer detector. The results show that the use of the proposed algorithm, while reducing the target positioning error in comparison with the standard average transfer algorithm, also shows a significant efficiency against the changes of contrast 2 and target radiation pattern. Manuscript profile

Open Access Article

15 - Determining optimal support vector machines in classification of hyperspectral images based on genetic algorithm
farhad samadzadegan Hadis Hasani

20.1001.1.27170414.1391.4.14.2.9

۱٬۳۸۵ / ۵٬۰۰۰ Today, hyperspectral images are considered a powerful and efficient tool in remote sensing due to the wealth of spectral information and provide the possibility of distinguishing between similar complications. Considering the stability of support vector m More

۱٬۳۸۵ / ۵٬۰۰۰ Today, hyperspectral images are considered a powerful and efficient tool in remote sensing due to the wealth of spectral information and provide the possibility of distinguishing between similar complications. Considering the stability of support vector machines in spaces with high dimensions, they are considered a suitable option in the classification of hyperspectral images. Nevertheless, the performance of these classifiers is influenced by their input parameters and feature space. In order to use support vector machines with the highest efficiency, the optimal values of the parameters and also the optimal subset of the input features should be determined. In this research, the ability of the genetic algorithm as a meta-heuristic optimization technique has been used in determining the optimal values of support vector machine parameters and also selecting the subset of optimal features in the classification of hyperspectral images. The practical results of applying the above method on the hyperspectral data of AVIRIS sensor show that the input features and parameters each have a great effect on the performance of support vector machines, but the best performance of the classifier is obtained by solving them simultaneously. In the simultaneous solution of parameter determination and feature selection, for Gaussian kernel and polynomial, 5% and 15% increase in accuracy was achieved by removing more than half of the image bands. Also, the gradual cooling simulation optimization algorithm was implemented in order to compare with the genetic algorithm, and the results indicate the superiority of the genetic algorithm, especially with the large and complicated search space in the simultaneous solution approach of parameter determination and feature selection. Manuscript profile

Open Access Article

16 - A model for improving banking services using customer knowledge management and mobile banking and examining its impact on customer loyalty in Bank Mellat
narges rezaei Mohammad rezaei

20.1001.1.27170411.1396.9.31.3.4

With the development of new communication technologies, the use of information technology has been proposed as a success factor in developing organizations. One of the most important industries that must adapt to technological changes is the banking industry. The practi More

With the development of new communication technologies, the use of information technology has been proposed as a success factor in developing organizations. One of the most important industries that must adapt to technological changes is the banking industry. The practical capabilities of some private banks in attracting and retaining customers have made them a top priority for investment. The purpose of this study is to investigate the effect of customer knowledge management and mobile banking on improving banking services and customer loyalty. Bank Mellat was selected as a statistical population with 180 service management experts and 130 simple questionnaires were distributed among the sample using simple random sampling. 120 acceptable questionnaires were referred. Structural equation model was selected for data analysis. The results indicate the positive and direct impact of knowledge management and mobile banking on improving the services provided and customer loyalty. Manuscript profile

Open Access Article

17 - Understanding the initial trust of users in social networks
Mohsen Akbari zahedfar zahedfar zahra eiagh

20.1001.1.27170411.1395.8.27.2.8

۲٬۱۰۸ / ۵٬۰۰۰ Social networks are one of the types of social media that have been so influential in the lives of internet users in recent years that the forms of social communication have also been influenced by these new media and in the future the role will be far gr More

۲٬۱۰۸ / ۵٬۰۰۰ Social networks are one of the types of social media that have been so influential in the lives of internet users in recent years that the forms of social communication have also been influenced by these new media and in the future the role will be far greater. They will play more important. On the other hand, trust is one of the main factors of creating satisfaction and repeating the use of online services by users. Therefore, this research has used the possible expansion model to identify the factors affecting users' initial trust in social networks (Facebook) and states that users change their attitude through two central and lateral paths. Central indicators include information quality and service quality, and peripheral indicators include system quality, structural security, and reputation. Self-efficacy moderates the effects of central cues and peripheral cues on initial trust. The statistical population of this research is Iranian Facebook users. The data needed for the research was collected through the connection with the personal pages of people and public pages (related to groups, cities, activities, universities, etc.) active in this social network. For this purpose, the link of the online questionnaire designed on the docs.google.com website was provided to them. In this questionnaire, a 5-point Likert scale from completely disagree (1) to completely agree (5) was used, and at the end, 406 questionnaires were collected, according to the Jersey and Morgan table, to conduct research in the infinite society. It is desirable. The validity of the questionnaire was obtained by asking experts and university professors and its reliability was determined by calculating Cronbach's alpha and it shows the optimal level of reliability. Data were analyzed with SmartPLS2 statistical software. According to the results obtained, among the independent variables of this research, self-efficacy, reputation, and structural security have the greatest effect on initial trust with path coefficients of 0.47, 0.23, and 0.20, respectively, and system quality has the least effect on initial trust with It has a value of 0.07. Also, the results show that self-efficacy only moderates the effect of system quality on initial trust. Therefore, since self-efficacy, aside from the role of attitude adjustment, directly has the greatest effect on primary trust; Social network designers should pay special attention to this factor; So that it is easy to learn and the process of using it is clear and understandable for users. Manuscript profile

Open Access Article

18 - Iran's companion government ecosystem model, analysis and recognition of the main players
ali hakimjavadi محمدمهدی سپهری

20.1001.1.27170411.1394.7.24.2.5

The government ecosystem is one of the developing ecosystems in Iran. The purpose of this article is to recognize and analyze the structure and also to identify the role of each of the main actors of this ecosystem. In order to achieve this goal, first, by using researc More

The government ecosystem is one of the developing ecosystems in Iran. The purpose of this article is to recognize and analyze the structure and also to identify the role of each of the main actors of this ecosystem. In order to achieve this goal, first, by using research sources and examining the models presented in these sources, a conceptual model for the mobile government ecosystem is presented, in which four new actors: new approaches in providing services beyond expectations, Innovation and innovators, advertising and advertisers and intermediaries have been introduced. Then, by designing a questionnaire to verify the factors identified in the model and examine their impact on the mobile government ecosystem, and distributing it using a random sample of 400, the attitudes and opinions of 363 experts in the field of telephone Companion and companion government have been collected and analyzed based on the structural equation model. The results show that except for the advertising factor and advertisers, three other new factors have significant coefficients in the model. Manuscript profile

Open Access Article

19 - Providing a model for evaluating information technology services based on an approach based on information technology governance models
seyyed ahmad tabatabaei سید کمال چهارسوق

20.1001.1.27170411.1394.7.24.3.6

oday, one of the biggest problems of information technology organizations in less developed countries is the excessive attention of these organizations to the field of infrastructure and technology. This attention has been up to the point that many managers and organiza More

oday, one of the biggest problems of information technology organizations in less developed countries is the excessive attention of these organizations to the field of infrastructure and technology. This attention has been up to the point that many managers and organizations consider the existence of up-to-date infrastructure and technologies as a sign of the maturity of the organization's information technology. Although the existence of appropriate technical and infrastructural facilities such as network, hardware, software, etc. is necessary to provide proper services and optimal performance, but these features cannot create a competitive advantage and increase the maturity of the organization. The missing link in these organizations, which has unfortunately received less attention, is how to use these facilities to achieve organizational goals. In different fields, there are many standards and methods for defining and optimizing processes. One of the most important sets of models that should be considered in information technology units are the models and frameworks related to information technology governance. IT governance focuses on implementing and managing the quality of IT services to meet business needs. IT governance is achieved by service providers through the right combination of people, process and IT. The purpose of this article is to examine the different models and frameworks of information technology governance in order to derive a model for the evaluation of information technology services by modeling these frameworks. Manuscript profile

Open Access Article

20 - A model information technology adoption in academic research projects in the filed ICT based on Information Technology Adoption Integrated Modeling (ITAIM)
Shahram Aliyari masoud movahedi sirous kazemian

20.1001.1.27170411.1398.11.41.4.9

Today, the emergence and expansion of technologies that provide the widest possible connection have brought about significant changes in the private life and professional life of individuals. Correct implementation of information technology is the source of economic and More

Today, the emergence and expansion of technologies that provide the widest possible connection have brought about significant changes in the private life and professional life of individuals. Correct implementation of information technology is the source of economic and cultural development and the promotion of quality of life through the exchange of information and the provision of public and private services. The purpose of this research is to present the model of information technology acceptance in Iranian ICT research centers. Employed experts worked on ICT projects in this research Statistical population. It was provided in one of the university searching centers. And so a convenience and purposeful Nonprobability sampling does (30 person). This paper examines the factors and parameters affecting the acceptance of information technology in ICT projects of the university research centers in the field of information technology. To collect the required data and information, a questionnaire was used & to analyze the data and information obtained from the questionnaires using the Spss 22 and Smart pls3 software. According to the calculations, the factors affecting the acceptance of information technology in university research centers can be divided into four categories: IT related factors, organizational factors, factors related to executive director and individual factors that are related to management (0.497), IT (0.460) and Individual factors (0.457) have an impact on the individual acceptance of information technology respectively and organizational factors (0.469) on the adoption of an IT organization Manuscript profile

Open Access Article

21 - Assessing E-Government Readiness in Iranian Universities, Case Study: Tarbiat Modares University
Saeed Haydari gholamali montazer

20.1001.1.27170414.1399.12.43.2.3

Due to the recent advances in electronic government (e-government) and given the fact that universities are recognized as the Leading of innovation and progress in society, the expectation of electronic-government maturity levels in universities is higher than other gov More

Due to the recent advances in electronic government (e-government) and given the fact that universities are recognized as the Leading of innovation and progress in society, the expectation of electronic-government maturity levels in universities is higher than other governmental agencies. Given the high human capital capacity, universities are able to adapt themselves to e-government faster than other governmental organizations. In order to meet these expectations, e-government in universities and higher education institutions must be continuously evaluated. In this paper, we developed a model for assessing e-government readiness at university level, which includes "university-affiliated" indicators and "university-independent" indicators; university affiliates indicators are: " Trust "," Executive Policy and Laws "," Human Resources "," Integrity "," Budget "," Technological Infrastructure "," Digital Culture" and "Supervision, Support and Coordination ", as well as the "National Infrastructure" indicator is an independent indicator of the university. In the field study, the model was used to evaluate e-government readiness at Tarbiat Modares University Manuscript profile

Open Access Article

22 - Identification of the Factors and Indicators of the Model of Quality Assessment of the Game Industry Services on the Cloud Platform
Mohammad Taghi Taghavifard mohamadali abaspour

20.1001.1.27170411.1399.12.45.10.0

n today's world, one of the most important media and entertainment sectors is the gaming industry. The number of users of this type of games is constantly increasing and Businesses in this industry have grown dramatically. This has led to a dollars million turnover boos More

n today's world, one of the most important media and entertainment sectors is the gaming industry. The number of users of this type of games is constantly increasing and Businesses in this industry have grown dramatically. This has led to a dollars million turnover boost for developer companies of this kind of games. Therefore, the main aim of this study is to provide a model for measuring the quality of services on the cloud platform in the gaming industry. The present research is a developmental-applied objective and is a part of qualitative research. This research is also a survey research in terms of data gathering. In this study, 52 indicators were identified in 9 main dimensions after evaluating theoretical literature of the research and existing models and Delphi method for assessing the quality of the cloud computing services industry. The results of the research provide a comprehensive model for assessing the quality of cloud computing services industry services that can be used by industry and researchers. Manuscript profile

Open Access Article

23 - Presenting a new conceptual model for the field of big data and analyzing the data-driven business in Iran based on the proposed model
Mojgan Farhoodi rezvan kalantari hormozi Hesam Zand Hesami

20.1001.1.27170414.1400.13.47.3.9

Forecasting a 10-fold increase in global data till 2025 by IDC indicates that the data journey for organizations has just begun. Collecting, storing, analyzing and using this valuable gold contributes to innovation in companies and organizations and leads businesses to More

Forecasting a 10-fold increase in global data till 2025 by IDC indicates that the data journey for organizations has just begun. Collecting, storing, analyzing and using this valuable gold contributes to innovation in companies and organizations and leads businesses to a competitive future. The purpose of this article is to examine the various contexts of value creation and big-data-driven business for startups that rely on data as their primary source of business. Therefore, in this regard, after examining the various dimensions of big data, a conceptual model of this field has been presented. This model helps companies to carry out their activities in this field with more awareness and focus. Also in the continuation of this article, the results of the survey of knowledge-based companies with data-driven businesses are presented. The results show that most of these companies are more focused on the two areas of data analysis and visualization. Also, the two areas of "Fintech" and "Media" have been more receptive to the technologies of these two areas. On the other hand, products related to "big data management and processing", which includes providing solutions and launching big-data processing and storage services, have the highest sales volume and a significant amount of activity of these companies on Content of news, social networks and information related to stock exchange transactions. Manuscript profile

Open Access Article

24 - An Intelligent Model for Multidimensional Personality Recognition of Users using Deep Learning Methods
Hossein Sadr fatemeh mohades deilami morteza tarkhan

20.1001.1.27170414.1400.13.47.6.2

Due to the significant growth of textual information and data generated by humans on social networks, there is a need for systems that can automatically analyze the data and extract valuable information from them. One of the most important textual data is people's opini More

Due to the significant growth of textual information and data generated by humans on social networks, there is a need for systems that can automatically analyze the data and extract valuable information from them. One of the most important textual data is people's opinions about a particular topic that are expressed in the form of text. Text published by users on social networks can represent their personality. Although machine learning based methods can be considered as a good choice for analyzing these data, there is also a remarkable need for deep learning based methods to overcome the complexity and dispersion of content and syntax of textual data during the training process. In this regard, the purpose of this paper is to employ deep learning based methods for personality recognition. Accordingly, the convolutional neural network is combined with the Adaboost algorithm to consider the possibility of using the contribution of various filter lengths and gasp their potential in the final classification via combining various classifiers with respective filter sizes using AdaBoost. The proposed model was conducted on Essays and YouTube datasets. Based on the empirical results, the proposed model presented superior performance compared to other existing models on both datasets. Manuscript profile

Open Access Article

25 - Sentiment analysis for stock market predection with deep neural network: A case study for international corporate stock database
hakimeh mansour Saeedeh Momtazi Kamran Layeghi

20.1001.1.27170414.1400.13.47.7.3

Emotional analysis is used as one of the main pillars in various fields such as financial management, marketing and economic changes forecasting in different countries. In order to build an emotion analyzer based on users' opinions on social media, after extracting impo More

Emotional analysis is used as one of the main pillars in various fields such as financial management, marketing and economic changes forecasting in different countries. In order to build an emotion analyzer based on users' opinions on social media, after extracting important features between words by convolutional layers, we use LSTM layers to establish the relationship behind the sequence of words and extract the important features of the text. With discovery of new features extracted by LSTM, the ability of the proposed model to classify the stock values of companies increases. This article is based on the data of Nguyen et al. (2015) and uses only the emotional information of people in social networks to predict stocks. Given that we categorize each user's message into one of the emotional classes "Strong Buy", "Buy", "Hold", "Sell", "Strong Sell", this model can predict the stock value of the next day, whether it will be high or low. The proposed structure consisted of 21 layers of neural networks consisting of convolutional neural networks and long short-term memory network. These networks were implemented to predict the stock markets of 18 companies. Although some of the previously presented models have used for emotion analysis to predict the capital markets, the advanced hybrid methods have not been performed in deep networks with a good forecasting accuracy. The results were compared with 8 baseline methods and indicate that the performance of the proposed method is significantly better than other baselines. For daily forecasts of stocks changes, it resulted in 19.80% improvement in the prediction accuracy, compared with the deep CNN, and 24.50% and 23.94% improvement compared with the models developed by Nguyen et al. (2015) and Derakhshan et al. (2019), respectively. Manuscript profile

Open Access Article

26 - Agile Enterprise Architecture Modeling: Evaluating the Applicability of Six Modeling Standards based on Iran’s National EA Framework
Ali Razi reza rezaei ahmadali یزدان پناه

20.1001.1.27170414.1400.13.47.8.4

The Iran’s national enterprise architecture framework (INEAF) has been adapted from the TOGAF framework and its architectural development method. In this framework, the use of agility paradigm is emphasized, but there is no basis for using agile methods and techniques. More

The Iran’s national enterprise architecture framework (INEAF) has been adapted from the TOGAF framework and its architectural development method. In this framework, the use of agility paradigm is emphasized, but there is no basis for using agile methods and techniques. Based on the results obtained for the researcher, the studied sources did not indicate all the necessary solutions and features to develop an agile methodology based on the Iran’s national EA framework. According to Mr. Gill research, each modeling standard is different in scope and function, and since a modeling standard alone cannot support all the requirements of agile enterprise architecture, combining modeling standards is a suitable solution. In this paper, an agile enterprise architecture modeling methodology including ten solutions with a combination of six modeling standards ArchiMate, UML, BPMN, FAML, SoaML and BMM based on the Iran’s national EA framework is presented. The evaluation of the applicability of the proposed methodology is performed by the combined method (qualitative + quantitative). Qualitative evaluation is performed through a case study and quantitative evaluation is performed using multi-criteria decision making methods including ANP and DEMATEL. Data collection and information gathering and determining options and criteria, is performed through library studies and field methods, and using questionnaire, interview and observation tools. Based on the case study, combination of six standards by agile enterprise architecture modeling method based on the Iran’s national enterprise architecture framework is applicable. For quantitative evaluation of applicability in this paper, according to experts, four options have been proposed, which are based on the final weight: support by known tools, the ability to cover the artifacts of the Iran’s national enterprise architecture framework, efficiency or effectiveness, ease of learning or teachability. Manuscript profile

Open Access Article

27 - Providing a model for evaluating native electronic content in Iran based on value chain
Tahereh Mirsaeedghazi masoumeh sadeghi Mandana Farzaneh Sogol Babazadeh Mahmood Kharrat nasrin dastranj homeyra moghadami behrooz eliasi

20.1001.1.27170411.1400.13.49.4.9

The field of electronic content is one of the most influential pillars of digital transformation. For proper planning to develop or modify the process of social, economic and cultural influences in the digital transformation trend, it is necessary to provide a proper as More

The field of electronic content is one of the most influential pillars of digital transformation. For proper planning to develop or modify the process of social, economic and cultural influences in the digital transformation trend, it is necessary to provide a proper assessment of the position of electronic content and its status. Considering the various components of electronic content and also the areas affected by it, determining the status of native electronic content in the country requires having a suitable model to cover all dimensions and thus its evaluation. The purpose of this paper is to present an appropriate and local model to assess the electronic content in the country in terms of setting up programs and policies in this area, the effectiveness of the indices offered in the proposed model for different actors and stakeholders could be traceable based on the value chain. In this paper, with regard to the importance of explaining the basic concepts of electronic content, as well as review of upstream documents and existing policies, the focus group research method has been used to determine the model elements and indices of different parts of value chain. To evaluate the proposed model, we use field analytical methods and questionnaire patterns. The proposed model and its implementation procedure allow legislators and policy makers in the field of native electronic content to assess the status of electronic content in the country and improve it based on the different roles of actors and each of .the content areas Manuscript profile

Open Access Article

28 - Architectural tactics identification in source code based on a semantic approach
Ehsan Sharifi Ahmad عبداله زاده بارفروش

20.1001.1.27170411.1401.14.51.2.8

Software systems are alive as long as they can be changed and used. Changing the source code without considering the consequences can lead to the architectural erosion of software systems. Architectural erosion gradually makes the system unchangeable and moves it toward More

Software systems are alive as long as they can be changed and used. Changing the source code without considering the consequences can lead to the architectural erosion of software systems. Architectural erosion gradually makes the system unchangeable and moves it towards deterioration. Architectural decisions in the source code are usually made using architectural tactics. These tactics are fine-grained decisions that are made to achieve a certain quality attribute. Recognizing these tactics in the source code, allows developers to change the code while knowing the implementation location of these decisions. This slows the architectural erosion process and delays the system's movement towards deterioration. Thus, this paper introduces a method based on semantic web for recognizing the architectural tactics presented in the source code. Based on this approach, the new concept of microtactic is introduced that increases the possibility of recognizing architectural tactics using a semantic web and ontological approach. The evaluation results show that this method in comparison with other similar methods recognizes the tactics with higher precision and quality. Manuscript profile

Open Access Article

29 - Generalizing The Concept of Business Processes Structural Soundness from Classic Petri-nets to BPMN2.0 Process Models
Yahya Poursoltani Mohammad Hassan Shirali-Shahreza S. Alireza Hashemi Golpayegani

BPMN2.0 Standard is a modeling language, which can be understood and used by a wide range of users. However, because of its non-formal nature, models (designed using it) can be containing structural errors such as Deadlock (impossibility of executing some of process tas More

BPMN2.0 Standard is a modeling language, which can be understood and used by a wide range of users. However, because of its non-formal nature, models (designed using it) can be containing structural errors such as Deadlock (impossibility of executing some of process tasks) and Livelock (infinite repetition of tasks) may be produced by using them. These semantic errors can create anomalies in the workflow of the organization. So far, some researches has been conducted on the validation of these process models and various solutions have been provided to discover some of these structural errors. The question that may be raised about these methods is whether it is possible to definitely guarantee the structural accuracy of a BPMN method model by using any of them? To answer this question, we need a comprehensive definition of a correct BPMN2.0 process model, based on which we can evaluate the comprehensiveness of validation methods and strongly make sure that the considered method can discover all of the structural errors of the process model. In this paper, based on concept of general process models and the concept of soundness (based on process models created using Petri nets) and the generalization of its properties, i.e. Liveness and Boundness to BPMN2.0 process models, a comprehensive definition for a correct (sound) BPMN2 process model provided. Then, the comprehensiveness of the suggested methods of some of the most important researches conducted has been evaluated based on it. This definition can be used as a measure for efficiency of BPMN validation methods. Manuscript profile

Open Access Article

30 - Stock market prediction using optimized grasshopper optimization algorithm and time series algorithms
Vahid Safari dehnavi masoud shafiee

20.1001.1.27170411.1401.14.53.8.8

Stock market prediction serves as an attractive and challenging field for researchers in financial markets. Many of the models used in stock market prediction are not able to predict accurately or these models require a large amount of input data, which increases the vo More

Stock market prediction serves as an attractive and challenging field for researchers in financial markets. Many of the models used in stock market prediction are not able to predict accurately or these models require a large amount of input data, which increases the volume of networks and learning complexity, all of which ultimately reduce the accuracy of forecasting. This article proposes a method for forecasting the stock market that can effectively predict the stock market. In this paper, the past market price is used to reduce the volume of input data and this data is placed in a regressor model. Manuscript profile

Open Access Article

31 - A comprehensive survey on the influence maximization problem in social networks
mohsen taherinia mahdi Esmaeili Behrooz Minaei

20.1001.1.27170411.1401.14.53.16.6

With the incredible development of social networks, many marketers have exploited the opportunities, and attempt to find influential people within online social networks to influence other people. This problem is known as the Influence Maximization Problem. Efficiency a More

With the incredible development of social networks, many marketers have exploited the opportunities, and attempt to find influential people within online social networks to influence other people. This problem is known as the Influence Maximization Problem. Efficiency and effectiveness are two important criteria in the production and analysis of influence maximization algorithms. Some of researchers improved these two issues by exploiting the communities’ structure as a very useful feature of social networks. This paper aims to provide a comprehensive review of the state of the art algorithms of the influence maximization problem with special emphasis on the community detection-based approaches Manuscript profile

Open Access Article

32 - The framework of the national macro plan for transparency and information release based on the grounded theory method
Mahdi Azizi MehmanDoost Mohammad Reza Hosseini reza taghipour Mojtaba Mazoochi

10.61186/jict.44095.15.57.31

20.1001.1.27170411.1402.15.57.3.8

The purpose of this research is to present the framework of the national plan for transparency and information release. The research employs an integrated approach (qualitative and quantitative) and grounded theory as its research methodology. In the qualitative part، w More

The purpose of this research is to present the framework of the national plan for transparency and information release. The research employs an integrated approach (qualitative and quantitative) and grounded theory as its research methodology. In the qualitative part، with an in-depth and exploratory review of upstream laws and documents، models، theories، plans، and white papers of different countries related to transparency and information release، data analysis was done until theoretical saturation through three stages of open، axial، and selective coding. To acquire the dimensions، components، and subcomponents of this framework، 129 concepts were extracted from 620 primary codes، which were reduced to 593 secondary codes by removing the duplicated elements. Finally، 24 subcategories were placed under the five main components based on the paradigm model. In the quantitative section، the results of the analysis of the questionnaire indicated that، from a validity standpoint، the total value of the questionnaire، in different dimensions، was between 0.87 and 0.92، and the reliability coefficient was between 0.73 and 0.78. Based on data analysis، the establishment of a supranational management institution for transparency and information release، the precise determination of exceptions، network governance، demanding transparency، adherence to frameworks، maximum disclosure and support for legitimate disclosure، and the establishment of a data governance center are among the subcategories emphasized in this framework. Manuscript profile

Open Access Article

33 - BIG DATA
Behshid Behkamal

The main purpose of linked data is to realize the semantic web and extract knowledge through linking the data available on the web. One of the obstacles to achieving this goal is the existence of problems and errors in the published data, which causes incorrect links an More

The main purpose of linked data is to realize the semantic web and extract knowledge through linking the data available on the web. One of the obstacles to achieving this goal is the existence of problems and errors in the published data, which causes incorrect links and as a result, invalid conclusions. Considering that the quality of the data has a direct effect on the success of the linked data project and the realization of the semantic web, it is better to evaluate the quality of each of the data sets in the early stages of publication. In this paper, a learning-based method for evaluating linked datasets is presented. For this purpose, first, the base quality model is selected and the quality features of the model are mapped to the field under study (which is the field of linked data in this article). Then, based on the mapping done, the important qualitative features in the study area are identified and described in detail by defining sub-features. In the third stage, based on past studies, the measurement metrics of each of the sub-features are extracted or defined. Then, measurement metrics should be implemented based on the type of data in the studied domain. In the next step, by selecting several data sets, the metric values are automatically calculated on the tested data sets. To use observational learning methods, it is necessary to evaluate the quality of data experimentally by experts. At this stage, the accuracy of each of the data sets is evaluated by experts, and based on the correlation study tests, the relationship between the quantitative values of the proposed metrics and the accuracy of the data is investigated. Then, by using learning methods, the effective metrics in the accuracy evaluation that have an acceptable predictability are identified. In the end, using learning methods, a quality prediction model based on the proposed criteria is presented. The results of the evaluations showed that the proposed method is scalable, efficient and applicable in addition to being automatic. Manuscript profile

Open Access Article

34 - Generalizing The Concept of Business Processes Structural Soundness from Classic Petri-nets to BPMN2.0 Process Models
Yahya Poursoltani Mohammad Hassan Shirali-Shahreza S. Alireza hashemi G.

BPMN2.0 Standard is a modeling language, which can be understood and used by a wide range of users. However, because of its non-formal nature, models (designed using it) can be containing structural errors such as Deadlock (impossibility of executing some of process tas More

BPMN2.0 Standard is a modeling language, which can be understood and used by a wide range of users. However, because of its non-formal nature, models (designed using it) can be containing structural errors such as Deadlock (impossibility of executing some of process tasks) and Livelock (infinite repetition of tasks) may be produced by using them. These semantic errors can create anomalies in the workflow of the organization. So far, some researches has been conducted on the validation of these process models and various solutions have been provided to discover some of these structural errors. The question that may be raised about these methods is whether it is possible to definitely guarantee the structural accuracy of a BPMN method model by using any of them? To answer this question, we need a comprehensive definition of a correct BPMN2.0 process model, based on which we can evaluate the comprehensiveness of validation methods and strongly make sure that the considered method can discover all of the structural errors of the process model. In this paper, based on concept of general process models and the concept of soundness (based on process models created using Petri nets) and the generalization of its properties, i.e. Liveness and Boundness to BPMN2.0 process models, a comprehensive definition for a correct (sound) BPMN2 process model provided. Then, the comprehensiveness of the suggested methods of some of the most important researches conducted has been evaluated based on it. This definition can be used as a measure for efficiency of BPMN validation methods. Manuscript profile

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