About Journal
According to the letter No. 3/4817 dated 2007/9/02 of the Research Affairs Office of the Iranian Ministry of Science, Research and Technology and the statement of the vote of the Commission for the Review of Scientific Journals of the country on 2007/7/14, this journal has been awarded a scientific-research degree.
Journal of Information and Communication Technology (JICT) belongs to the "Iranian Information and Communication Technology Association" and is a peer-reviewed open-access bi-quarterly journal publishing high-quality scientific papers covering all aspects of the information and communication technologies including computer science and engineering, information technology, communication technology, information technology management. It is an interdisciplinary journal devoted to the publication of original articles, review articles, etc., considering the research ethics and academic rules and regulations.
All papers are subject to a blind reviewing process. The submitted manuscripts will be published after a thorough review and the editorial board's approval.
Recent Articles
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Open Access Article
1 - A Novel Multi-Step Ahead Demand Forecasting Model Based on Deep Learning Techniques and Time Series Augmentation
Hossein Abbasimehr Reza PakiIssue 53 , Vol. 14 , Autumn_Winter 2023In a business environment where there is fierce competition between companies, accurate demand forecasting is vital. If we collect customer demand data at discrete points in time, we obtain a demand time series. As a result, the demand forecasting problem can be formula MoreIn a business environment where there is fierce competition between companies, accurate demand forecasting is vital. If we collect customer demand data at discrete points in time, we obtain a demand time series. As a result, the demand forecasting problem can be formulated as a time series forecasting task. In the context of time series forecasting, deep learning methods have demonstrated good accuracy in predicting complex time series. However, the excellent performance of these methods is dependent on the amount of data available. For this purpose, in this study, we propose to use time series augmentation techniques to improve the performance of deep learning methods. In this study, three new methods have been used to test the effectiveness of the proposed approach, which are: 1) Long short-term memory, 2) Convolutional network 3) Multihead self-attention mechanism. This study also uses a multi-step forecasting approach that makes it possible to predict several future points in a forecasting operation. The proposed method is applied to the actual demand data of a furniture company. The experimental results show that the proposed approach improves the forecasting accuracy of the methods used in most different prediction scenarios Manuscript profile -
Open Access Article
2 - Improving polarity identification in sentiment analysis using sarcasm detection and machine learning algorithms in Persian tweets
Shaghayegh hajiabdollah Mitra Mirzarezaee Mir Mohsen PedramIssue 53 , Vol. 14 , Autumn_Winter 2023Sentiment analysis is a branch of computer science and natural language processing that seeks to familiarize machines with human emotions and make them recognizable. Both sentiment analysis and sarcasm which is a sub-field of the former, seek to correctly identify the h MoreSentiment analysis is a branch of computer science and natural language processing that seeks to familiarize machines with human emotions and make them recognizable. Both sentiment analysis and sarcasm which is a sub-field of the former, seek to correctly identify the hidden positive and negative emotions of the text. The use of sarcasm on social media, where criticism can be exercised within the context of humor, is quite common. Detection of sarcasm has a special effect on correctly recognizing the polarization of an opinion, and thus not only it can help the machine to understand the text better, but also makes it possible for the respective author to get his message across more clearly. For this purpose, 8000 Persian tweets that have emotional labels and examined for the presence or absence of sarcasm have been used. The innovation of this research is in extracting keywords from sarcastic sentences. In this research, a separate classifier has been trained to identify irony of the text. The output of this classifier is provided as an added feature to the text recognition classifier. In addition to other keywords extracted from the text, emoticons and hashtags have also been used as features. Naive Bayes, support vector machines, and neural networks were used as baseline classifiers, and finally the combination of classifiers was used to identify the feeling of the text. The results of this study show that identifying the irony in the text and using it to identify emotions increases the accuracy of the results. Manuscript profile -
Open Access Article
3 - Modeling and evaluation of RPL routing protocol by colored Petri nets
Mohamad Pishdar Younes SeifiIssue 53 , Vol. 14 , Autumn_Winter 2023The Internet of Things (IoT) is a novel and widely used idea aimed at connecting objects through communication technologies. The problem of the prior technology adaptation has always been one of the most challenging issues in this area over the years. The Recognition of MoreThe Internet of Things (IoT) is a novel and widely used idea aimed at connecting objects through communication technologies. The problem of the prior technology adaptation has always been one of the most challenging issues in this area over the years. The Recognition of Prior Learning (RPL) protocol has been proposed by scientists since 2012 as a solution for IoT routing. This protocol has been utilized by many researchers and hardware companies in the field of the mentioned technology. The present study evaluates RPL behavior from the perspective of the existence of stopping conditions, crossing multiple routes from a special route (loop conditions), and how it reacts to different inputs, while presenting a modular and readable model of this protocol. Manuscript profile -
Open Access Article
4 - The Effect of ICT Development on Economic and Political Risk: A Cross Country Study
َAmir Hossein Mozayani Sajjad Faraji Dizaji Hossein KarimiIssue 53 , Vol. 14 , Autumn_Winter 2023Today, information and communication technology has influenced all areas of human life, including economics and politics. In research on the effects of information and communication technology, its effects on economic risk and political risk have not been considered so MoreToday, information and communication technology has influenced all areas of human life, including economics and politics. In research on the effects of information and communication technology, its effects on economic risk and political risk have not been considered so far. Therefore, this study has examined the effect of ICT development on economic and political risk for three selected groups of developed, developing, and OPEC countries in the period 2007- 2019. The panel data method was used to estimate the model. Based on the model estimation results for all sample countries, the deployment of information and communication technology reduces economic and political risk; But the results are different for each group. As the development of information and communication technology in selected OPEC members and developing countries increases economic risk; But in developed countries, it reduces economic risk. Also, in OPEC member countries, no significant relationship was found between ICT and political risk, and in selected developed and developing countries, ICT increases political risk. Manuscript profile -
Open Access Article
5 - Increasing Total Throughput, Reducing Outage to Zero, and Reducing Power Consumption in a Cellular Network
Mohsen Seyyedi Saravi Mohammadreza Binesh Marvasti Seyedeh Leili Mirtaheri Seyyed Amir AsghariIssue 53 , Vol. 14 , Autumn_Winter 2023Quality assurance of providing remote services in cellular networks necessitates attention to significant criteria such as throughput, power consumption, and interference in these networks. Accordingly, this paper presents a framework for optimizing these criteria by as MoreQuality assurance of providing remote services in cellular networks necessitates attention to significant criteria such as throughput, power consumption, and interference in these networks. Accordingly, this paper presents a framework for optimizing these criteria by assuming a limited transmission capacity for mobile nodes in a wireless cellular network as limitations in the transmission capacity often exist both in terms of hardware, battery limitations, and regulatory rules in the real world. In presenting this framework, a new idea was proposed once the existing methods were examined and their advantages and disadvantages were compared, respectively. After the formula was proved, the idea's simulation steps were performed via MATLAB. Present methods either increased the throughput by assuming unlimited transmission power or prevented some nodes from accessing the communication service. The simulation results showed that the proposed algorithm reduced the power consumption of mobile nodes in the network by a quarter in addition to increasing the throughput by 27%, and further operated in a way that no node would lose communication service Manuscript profile -
Open Access Article
6 - Synthesizing an image dataset for text detection and recognition in images
Fatemeh Alimoradi Farzaneh Rahmani Leila Rabiei Mohammad Khansari Mojtaba MazoochiIssue 53 , Vol. 14 , Autumn_Winter 2023Text detection in images is one of the most important sources for image recognition. Although many researches have been conducted on text detection and recognition and end-to-end models (models that provide detection and recognition in a single model) based on deep lear MoreText detection in images is one of the most important sources for image recognition. Although many researches have been conducted on text detection and recognition and end-to-end models (models that provide detection and recognition in a single model) based on deep learning for languages such as English and Chinese, the main obstacle for developing such models for Persian language is the lack of a large training data set. In this paper, we design and build required tools for synthesizing a data set of scene text images with parameters such as color, size, font, and text rotation for Persian. These tools are used to generate a large still varied data set for training deep learning models. Due to considerations in synthesizing tools and resulted variety of texts, models do not depend on synthesis parameters and can be generalized. 7603 scene text images and 39660 cropped word images are synthesized as sample data set. The advantage of our method over real images is to synthesize any arbitrary number of images, without the need for manual annotations. As far as we know, this is the first open-source and large data set of scene text images for Persian language. Manuscript profile -
Open Access Article
7 - An Intelligent Pricing System for Cloud Services aims at Increasing Implementation Simplicity and Flexibility
Mahboubeh Zandieh Sepideh Adabi Samaneh YazdaniIssue 53 , Vol. 14 , Autumn_Winter 2023Most of the previous pricing models for cloud resources which are defined based on auction suffer from high implementation complexity in real cloud environments. Therefore, the main challenge for researchers is to design dynamic pricing models that can achieve three goa MoreMost of the previous pricing models for cloud resources which are defined based on auction suffer from high implementation complexity in real cloud environments. Therefore, the main challenge for researchers is to design dynamic pricing models that can achieve three goals: 1) low computation complexity, 2) high accuracy, and 3) high implementation simplicity in real cloud environments. CMM (Cloud Market Maker) is one of the most popular dynamic pricing models that has two advantages of computation accuracy and the possibility to implement in the real cloud environments. This model calculates the bid price based on a linear function. In designing this linear function, the parameters: buyer’s urgency, number of competitors and number of opponents are considered. Despite the advantages of this pricing function, the importance ratio of the constructor parameters of it is considered the same in various market conditions. Ignoring this issue reduces both system flexibility and computation accuracy in tangible changes in the cloud market. Therefore, the authors of this paper focus on designing a new cloud market-aware intelligent pricing system (which developed in customer side of the market) to tackle the mentioned problem. At the same time, high implementation simplicity of the proposed system should be guaranteed. For this purpose, an agent-based intelligent pricing system by combining support vector machine (SVM) and hierarchical analysis process (AHP) techniques is proposed. Simulation results show the better performance of the proposed solution which is named as DPMA in comparison to CMM. Manuscript profile -
Open Access Article
8 - E-Government Service Supply Chain: Identifying Performance Evaluation Indicators (Case Study of e-Customs System in Iran)
jalal zare Rosa HendijaniIssue 53 , Vol. 14 , Autumn_Winter 2023Today, many governments around the world are increasingly leveraging advances in information and communication technologies to provide electronic services to their citizens. But estimates indicate that e-government projects will fail miserably, both in part and in whole MoreToday, many governments around the world are increasingly leveraging advances in information and communication technologies to provide electronic services to their citizens. But estimates indicate that e-government projects will fail miserably, both in part and in whole. Incomplete formation and poor supply chain performance are the most important reasons for the failure of these projects by researchers. Due to the fact that few studies have been conducted in the field of e-government service supply chain and its performance evaluation indicators, this study has studied the e-government service supply chain in Iran by studying the e-customs system. Also, using SMART criteria and ELECTRE I technique, it has identified the performance evaluation indicators of this chain. This study shows that just as the principles of e-supply chain in the manufacturing sector have been proposed by researchers, this concept can be generalized to the public service sector. The results also show that unlike previous studies on performance appraisal indicators, e-government service supply chain indicators have significant differences with traditional service supply chains. Manuscript profile -
Open Access Article
9 - Three Dimensional Beamforming in Multi User Multi Antenna Cellular Networks with Randomly Distributed Users
S. Mohammad Razavizadeh Nasim MohammadiIssue 53 , Vol. 14 , Autumn_Winter 2023In this paper, problem of using the 3D beamforming method (3DBF) in a multi-input-multi-output cellular communication network (MIMO) is discussed. The network consists of a cell with multiple users, in which users are distributed based on the Poisson point (PPP) process MoreIn this paper, problem of using the 3D beamforming method (3DBF) in a multi-input-multi-output cellular communication network (MIMO) is discussed. The network consists of a cell with multiple users, in which users are distributed based on the Poisson point (PPP) process at the cell area, which is closer to the conditions in a real mobile network. In this case, the number of users inside the cell and their location will be random. Depending on the distribution of users in the space and the difference in their distance from the base station, their elevation angles will also be different. Considering the downlink transmission and the zero-forcing (ZF) precoder in the base station, with the aim of eliminating intra cell interference, we evaluate and analyze the probability of coverage in the cell and then we obtain the best antenna tilt angle to achieve maximum probability of coverage. Using the analysis of numerical results, the accuracy of the calculations and the value of the optimal tilt angle of the antenna array are confirmed. Manuscript profile -
Open Access Article
10 - Stock market prediction using optimized grasshopper optimization algorithm and time series algorithms
Vahid Safari dehnavi masoud shafieeIssue 53 , Vol. 14 , Autumn_Winter 2023Stock 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 MoreStock 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
11 - Power Efficient allocation in C-RAN with Multi access technology selection approach
ALI ASGHAR ANSARI Mohsen Eslami Mohammad Javad Dehghani Saeideh Parsaei FardIssue 53 , Vol. 14 , Autumn_Winter 2023: In this paper, we consider an uplink economy-efficient resource allocation in a multicellular virtual wireless network with a C-RAN architecture where a MNO interacts with a number of MVNOs with a predetermined business model. In each cell of this system, two types of More: In this paper, we consider an uplink economy-efficient resource allocation in a multicellular virtual wireless network with a C-RAN architecture where a MNO interacts with a number of MVNOs with a predetermined business model. In each cell of this system, two types of multiple access technologies, namely OFDMA and Massive MIMO, are available for MVNO at two different prices. In this setup, we propose a multi access technology selection approach (MATSA) with the objective to reduce operating costs and maximize the profit of the MVNOs subject to a set of constraints, and formulate this resource allocation problem with the new utility function. Due to the existence of continuous and binary variables in the formulated optimization problem and also the interference between cells in data rate functions, this optimization problem will be non-convex with very high computational complexity. To tackle this problem, by applying the complementary geometric programming (CGP) and the successive convex approximation (SCA), an effective two-step iterative algorithm is developed to convert the optimization problem into two sub problems with the aim to find optimum technology selection and power consumption parameters for each user in two steps, respectively. The simulation results demonstrate that our proposed approach (MATSA) with novel utility function is more efficient than the traditional approach, in terms of increasing total EE and reducing total power consumption. The simulation results illustrate that the profit of the MVNOs is enhanced more than 13% compared to that of the traditional approach. Manuscript profile -
Open Access Article
12 - Design and fabrication of the E-field probe for the measurement of the electromagnetic fields in 5G frequency band
Reza Bahri Mahdi Fasanghari Ahmadreza Eskandari Vahid YazdanianIssue 53 , Vol. 14 , Autumn_Winter 2023In this paper, a device for measuring the electric fields intensity in the environment is designed and presented in the 5G frequency band, including the frequency range of 3400 ~ 3600 MHz. This device, called the 5G electric probe, is realized by three orthogonal antenn MoreIn this paper, a device for measuring the electric fields intensity in the environment is designed and presented in the 5G frequency band, including the frequency range of 3400 ~ 3600 MHz. This device, called the 5G electric probe, is realized by three orthogonal antennas, in connection to filter circuits and power detectors. The proposed antenna is a strip monopole antenna, and these orthogonal antennas can receive the electric fields in all directions uniformly and isotropically. The proposed filter is a coupled-line microstrip filter that has the ability to remove out-of-band signals. The proposed power detector is able to operate linearly over a wide dynamic range and convert the fields received from the antenna and filter sections to suitable DC voltages for digital processing. Finally, the designed 5G electric probe is fabricated and tested. The measurements confirm the proper operation of the probe in terms of dynamic range, accuracy, sensitivity, and the linearity and isotropicity of the received electric fields. Manuscript profile -
Open Access Article
13 - A review of the application of meta-heuristic algorithms in load balancing in cloud computing
Mehdi Morsali Abolfazl Toroghi Haghighat Sasan Hosseinali-ZadeIssue 53 , Vol. 14 , Autumn_Winter 2023By widespread use of cloud computing, the need to improve performance and reduce latency in the cloud increases. One of the problems of distributed environments, especially clouds, is unbalanced load which results in reducing speed and efficiency and increasing delay in MoreBy widespread use of cloud computing, the need to improve performance and reduce latency in the cloud increases. One of the problems of distributed environments, especially clouds, is unbalanced load which results in reducing speed and efficiency and increasing delay in data storage and retrieval time. Various methods for load balancing in the cloud environment have been proposed, each of which has addressed the issue from its own perspective and has its advantages and disadvantages. In this research, we first provide some criteria for measuring load balance in the cloud and then examine the use of Metaheuristic methods in load balancing in the cloud environment. After introducing Metaheuristic load balancing methods, we have compared them based on the aforementioned criteria and discussed the advantages and disadvantages of each. Ant Colony Algorithms, Artificial Ant Colony, Bee Colony, Artificial Bee Colony, Bee Foraging Algorithm, Particle Swarm, Cat Swarm, Simulated Annealing, Genetic Algorithm, Tabu Search, Fish Swarm and Hybrid Algorithms and etc. examined in this research. Manuscript profile -
Open Access Article
14 - An approach to prioritize quality dimensions of based on cloud computing using Multiple Criteria Decision Making method
Zahra Abbasi Somayeh Fatahi Mohammad Javad ErshadiIssue 53 , Vol. 14 , Autumn_Winter 2023Today, quality is one of the most important factors in attracting customer satisfaction and loyalty to service organizations. Therefore, one of the main concerns of managers is to improve the quality of services. With the development of the Internet and the world of com MoreToday, quality is one of the most important factors in attracting customer satisfaction and loyalty to service organizations. Therefore, one of the main concerns of managers is to improve the quality of services. With the development of the Internet and the world of communications, a concept called cloud computing has expanded in the world of communications, which provides a new model for the supply, consumption and delivery of computing services. The purpose of this study is to make the optimal decision in choosing the appropriate cloud service according to the conditions of users so that they achieve the highest satisfaction. Fuzzy Delphi method, fuzzy hierarchical analysis method, fuzzy TOPSIS method and finally multi-criteria decision making method are the methods used in this research. The results of the fuzzy Delphi method show that the indicators of transparency, accessibility and reliability should be eliminated. The results of fuzzy hierarchical analysis identified the cost index as the most important index and the support index during demand as the least important index. According to the results of fuzzy TOPSIS based on the weights obtained from fuzzy hierarchical analysis, SAAS, IAAS and PAAS cloud services were ranked first to third, respectively. Using the SAAS service provides numerous benefits to employees and companies, such as reducing time and money spent on time-consuming tasks such as installing, managing, and upgrading software. Manuscript profile -
Open Access Article
15 - Data-driven Marketing in Digital Businesses from Dynamic Capabilities View
Maede Amini vlashani ayoub mohamadian Seyed Mohammadbagher JafariIssue 53 , Vol. 14 , Autumn_Winter 2023Despite the enormous volume of data and the benefits it can bring to marketing activities, it is unclear how to use it in the literature, and very few studies have been conducted in this field. In this regard, this study uses dynamic capabilities view to identify the dy MoreDespite the enormous volume of data and the benefits it can bring to marketing activities, it is unclear how to use it in the literature, and very few studies have been conducted in this field. In this regard, this study uses dynamic capabilities view to identify the dynamic capabilities of data-driven marketing to focus on data in the development of marketing strategies, make effective decisions, and improve efficiency in marketing processes and operations. This research has been carried out in a qualitative method utilizing the content analysis strategy and interviews with specialists. The subjects were 18 professionals in the field of data analytics and marketing. They were selected by the purposeful sampling method. This study provides data-driven marketing dynamic capabilities, including; Ability to absorb marketing data, aggregate and analyze marketing data, the ability to data-driven decision-making, the ability to improve the data-driven experience with the customer, data-driven innovation, networking, agility, and data-driven transformation. The results of this study can be a step towards developing the theory of dynamic capabilities in the field of marketing with a data-driven approach. Therefore, it can be used in training and creating new organizational capabilities to use big data in the marketing activities of organizations, to develop and improve data-driven products and services, and improve the customer experience Manuscript profile -
Open Access Article
16 - A comprehensive survey on the influence maximization problem in social networks
mohsen taherinia mahdi Esmaeili Behrooz MinaeiIssue 53 , Vol. 14 , Autumn_Winter 2023With 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 MoreWith 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
Most Viewed Articles
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Open Access Article
1 - Determining the factors affecting the collective financing of knowledge-based IT companies
Ali Haji Gholam Saryazdi ali rajabzadeh ghotri alinaghi mashayekhi alireza hassanzadeIssue 37 , Vol. 10 , Autumn_Winter 2019The 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 MoreThe 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
2 - طراحی اولین پایگاه داده کلمات دستنویس کردی برای سیستم های تشخیص تصویری کلمات
fatemeh daneshfar basir alagheband vahid sharafiIssue 17 , Vol. 5 , Spring_Summer 1393چکیده: یکی از اجزای زیربنایی سیستم های تشخیص تصویری کلمات پایگاه داده هاست. هر سیستمی که در این زمینه طراحی گردد لاجرم می بایست از یک نوع پایگاه داده ها استفاده کند. بدیهی است چون موضوع مورد مطالعه در این سیستم ها شکل نوشتاری زبان های مختلف میباشد پس برای هر زبان مشخص Moreچکیده: یکی از اجزای زیربنایی سیستم های تشخیص تصویری کلمات پایگاه داده هاست. هر سیستمی که در این زمینه طراحی گردد لاجرم می بایست از یک نوع پایگاه داده ها استفاده کند. بدیهی است چون موضوع مورد مطالعه در این سیستم ها شکل نوشتاری زبان های مختلف میباشد پس برای هر زبان مشخص پایگاه داده بخصوصی لازم است. زبانی که این مقاله بر آن متمرکز شده کردی است و در این مقاله مراحل مختلف چگونگی طراحی اولین پایگاه داده دستنویس برای زبان کردی شرح داده شده است. از آنجا که تاکنون هیچ پایگاه داده ای مخصوص تشخیص تصویری کلمات، مربوط به زبان کردی طراحی نشده است بنابراین زمینه ای بکر و مستعد برای انجام تحقیق محسوب می گردد. همچنین با توجه به اینکه زبان کردی دارای دو رسم الخط مختلف لاتین و آرامی می باشد در این مقاله منحصرا به رسم الخط آرامی البته از نوع دستنویس آن پرداخته شده است. Manuscript profile -
Open Access Article
3 - Image Processing of steel sheets for Defect Detection by using Gabor Wavelet
masoud shafiee mostafa sadeghiIssue 13 , Vol. 4 , Spring 1391In different steps of steel production, various defects appear on the surface of the sheet. Putting aside the causes of defects, precise identification of their kinds helps classify steel sheet correctly, thereby it allocates a high percentage of quality control process MoreIn different steps of steel production, various defects appear on the surface of the sheet. Putting aside the causes of defects, precise identification of their kinds helps classify steel sheet correctly, thereby it allocates a high percentage of quality control process. QC of steel sheet for promotion of product quality and maintaining the competitive market is of great importance. In this paper, in addition to quick review of image process techniques used, using image process by means of Gabor wavelet, a fast and precise solution for detection of texture defects in steel sheet is presented. In first step, the approach extracts considerable texture specification from image by using Gabor wavelet. The specification includes both different directions and different frequencies. Then using statistical methods, images are selected that have more obvious defects, and location of defects is determined. Offering the experimental samples, the accuracy and speed of the method is indicated. Manuscript profile -
Open Access Article
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mostafa sadeghi masoud shafieeIssue 14 , Vol. 4 , Autumn_Winter 2012 -
Open Access Article
5 - 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 kazemianIssue 41 , Vol. 11 , Autumn_Winter 2020Today, 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 MoreToday, 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
6 - An Investigation on the Effect of Multifactor Model of Improving Critical Thinking in E-learning Environments
mohammadreza nili jamshid heydari hossein moradiIssue 21 , Vol. 6 , Spring 1394In the third millennium, people deal with multiple, diverse, and complicated problems as they cannot possess full control over the information, which is constantly produced and accumulated. Having a high skill of critical thinking for assessing the results of different MoreIn the third millennium, people deal with multiple, diverse, and complicated problems as they cannot possess full control over the information, which is constantly produced and accumulated. Having a high skill of critical thinking for assessing the results of different issues and decision making about them based on evidences is an unavoidable necessity. The researchers of this work proposed a model with seven factors (components) for critical thinking in e-learning environments. The statistical group of this work is the M.Sc. medical education students of AZAD university e-learning environments, and the students of the same field from Islamic Azad University traditional education system studying during 2011-2012. Among the research community, 47 members were selected based on a simple random method and divided into two trial (with 23 members) and reference (with 42 members) groups. To train the trial group, the seven-factor critical thinking training scale was utilized in e-learning environments in 15 sessions with empirical sciences course. In the reference group, the same seven-factor critical thinking training scale was used in the classroom environment in lecturing in 15 sessions with empirical sciences course. The model factors and components are challenge, representation, creation of opportunity, creation of motivation, logical analysis, encouragement, responsibility, and commitment. Both groups were subject to two pretest and posttest steps within two trial groups, which were considered as reference to each other. Both groups responded to the Watson- Glaser™ Critical Thinking Appraisal within two pretest and posttest steps, while the covariance analysis statistical test was used for analysis of the results. The results indicate significant difference between the scores between trial and reference groups in improving the critical thinking of the students in terms of inferential, assumption detection, deduction, interpretation, and logical reasoning evaluation components (p=0.001). According to the results, in terms of improving critical thinking, the trial group trained in the e-learning environment indicates higher scores as compared to the group trained in the traditional classroom environment. Manuscript profile -
Open Access Article
7 - A Satellite Control Method Using Laguerre Model Predictive Control Approach
shekoofeh jafari fesharaki farzad tihidkhah heydarali talebiIssue 15 , Vol. 5 , Summer 1392In this paper a Model Predictive Method based controller is proposed to control a satellite. Model Predictive Control (MPC) has been well known as a practical control method for various systems in industry. A problem with this method is its computational effort and time MoreIn this paper a Model Predictive Method based controller is proposed to control a satellite. Model Predictive Control (MPC) has been well known as a practical control method for various systems in industry. A problem with this method is its computational effort and time consuming. To reduce computational load Laguerre functions have been proposed in this literature. Simulation results are given to show feasibility and the validity of the design. A comparison between the time consumed in the presence and the absence of the Laguerre functions is done too. Manuscript profile -
Open Access Article
8 - Using web analytics in forecasting the stock price of chemical products group in the stock exchange
amir daee Omid Mahdi Ebadati E. keyvan bornaIssue 39 , Vol. 11 , Spring_Summer 2019Forecasting 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 MoreForecasting 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 profile -
Open Access Article
9 - Routing improvement to control congestion in software defined networks by using distributed controllers
saied bakhtiyari Ardeshir AzarnejadIssue 39 , Vol. 11 , Spring_Summer 2019Software 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 MoreSoftware 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 profile -
Open Access Article
10 - Medial-axis Enhancement of Tubular Structures and its Application in the Extraction of Portal Veins
amirhossein forouza reza aghaeizade youshi sato masa houriIssue 13 , Vol. 4 , Spring 1391I In this paper, a new filter is designed to enhance medial-axis of tubular structures. Based on a multi-scale method and using eigenvectors of Hessian matrix, the distance of a point to the edges of the tube is found. To do this, a hypothetical line with a deliberate d MoreI In this paper, a new filter is designed to enhance medial-axis of tubular structures. Based on a multi-scale method and using eigenvectors of Hessian matrix, the distance of a point to the edges of the tube is found. To do this, a hypothetical line with a deliberate direction is passed through the point which cuts the tube at its edges. For points which are located on the medial-axis, this distance is symmetric with respect to any deliberate direction. We find samples of the distances in different directions and assign a measure to the points based on this symmetry property. The output of this step is an enhanced image in which noise is removed and tubes can be seen more clearly. Then, we employ the filter developed by Pock et al. to enhance medial axis. Evaluation of the proposed method is performed using 2D/3D synthetic/clinical datasets both quantitatively and qualitatively. Manuscript profile
