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      • Open Access Article

        1 - A RPL-based Routing Algorithm for Multimedia Traffic for the Internet of Things
        Mohammad Khansari Farzaneh Mortazavi
        According to enormous growths in communication networks, multimedia data will play a significant role on the Internet of Things in the near future. High volume of multimedia data leads to challenges such as reducing network lifetime and congestion. In this paper, a new More
        According to enormous growths in communication networks, multimedia data will play a significant role on the Internet of Things in the near future. High volume of multimedia data leads to challenges such as reducing network lifetime and congestion. In this paper, a new objective function for the RPL routing protocol is proposed which addresses the characteristics of multimedia data in the routing process. In the objective function, node’s remaining energy and the remaining buffer capacity of nodes measures are combined using a weighted pair. In order to evaluate this method, input data is generated based on a video trace. Packet delivery ratio, network lifetime, nodes availability over the lifetime of the network, node energy distribution, and end-to-end delay are used to evaluate the proposed method. The evaluation results show that the proposed method increases the package delivery ratio compared to the standard RPL. This method also improves the lifetime of the nodes by distributing energy between the nodes in comparison with standard RPL and extends the node's availability over the lifetime of the network. Finally, it reduces the network congestion which led to a lower end-to-end delay. Manuscript profile
      • Open Access Article

        2 - Synthesizing an image dataset for text detection and recognition in images
        Fatemeh Alimoradi Farzaneh Rahmani Leila Rabiei Mohammad Khansari Mojtaba Mazoochi
        Text 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 More
        Text 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

        3 - Explanation the role of standardization in the proposed solutions for privacy protection in health data
        batool mehrshad Mohammad mehraeen Mohammad Khansari saeed mortazavi
        Introduction: Due to the importance of data sharing in the digital era and the two main considerations related to it that are; standardization and privacy protection,this article aims to answer a critical question that is,does standardization play a role in the proposed More
        Introduction: Due to the importance of data sharing in the digital era and the two main considerations related to it that are; standardization and privacy protection,this article aims to answer a critical question that is,does standardization play a role in the proposed solutions for health data privacy protection? Methods: The present study is a systematic review conducted by searching databases such as Web of Science, PubMed, ScienceDirect, Springer, Magiran and SID and by applying a time limit filter.After applying the criteria for inclusion and exclusion and evaluating the results,relevant studies were selected. Findings: Articles addressing standardization and privacy protection in health data have been analyzed by taking 5 indicators into account. The need for standardization and its role to preserve privacy in health data have also been explained by examining the findings and discussing various laws related to privacy in the health field and its relationship with standardization.After the investigation,our study reveals that due to the technical structure of the fourth and fifth generation of health care, which has facilitated standardization, privacy protection can also be achieved through standardization.Finally,directions for future research on this topic are also suggested. Conclusion: The results of this research showed that the fourth- and fifth-generation health care systems that are technology-oriented; are formed based on standards,and these standards provide the possibility of their evaluation. Thus if laws related to health data privacy protection are developed based on standards,they will have a high execution guarantee. This further highlights the critical role of standard development organizations in this field. Manuscript profile
      • Open Access Article

        4 - Explanation of Standardization Role in the Proposed Solutions for Privacy Protection in Health Data
        batool mehrshad mohammad mehraeen Mohammad Khansari saeed mortazavi
        Due to the importance of data sharing in the digital era and the two main considerations related to it that are; standardization and privacy protection, this article aims to answer a critical question that is, does standardization play a role in the proposed solutions f More
        Due to the importance of data sharing in the digital era and the two main considerations related to it that are; standardization and privacy protection, this article aims to answer a critical question that is, does standardization play a role in the proposed solutions for health data privacy protection? The present study is a systematic review conducted by searching databases such as Web of Science, PubMed, ScienceDirect, Springer, Magiran and SID and by applying a time limit filter. After applying the criteria for inclusion and exclusion and evaluating the results, relevant studies were selected. Articles addressing standardization and privacy protection in health data have been analyzed by taking 5 indicators into account. The need for standardization and its role to preserve privacy in health data have also been explained by examining the findings and discussing various laws related to privacy in the health field and its relationship with standardization. After the investigation, our study reveals that due to the technical structure of the fourth and fifth generation of health care, which has facilitated standardization, privacy protection can also be achieved through standardization. Finally, directions for future research on this topic are also suggested. The results of this research shows that the fourth- and fifth-generation health care systems that are technology-oriented; are formed based on standards, and these standards provide the possibility of their evaluation. Thus if laws related to health data privacy protection are developed based on standards, they will have a high execution guarantee. This further highlights the critical role of standard development organizations in this field. Manuscript profile