• List of Articles تصویر

      • Open Access Article

        1 - Blind correction of camera lens aberration and de-centering error using modified Zernike model
        kambiz rahbar karim faez ebrahim attaran
        Reduction of the quality of the image formed by an optical system is a function of different parameters such as lens aberrations, CCD digitization errors, and the errors of system assembling. Assembling errors usually consist of two types: 1) the prism error, which is t More
        Reduction of the quality of the image formed by an optical system is a function of different parameters such as lens aberrations, CCD digitization errors, and the errors of system assembling. Assembling errors usually consist of two types: 1) the prism error, which is the error of non-orthogonality of the optical axis and the image plane 2) the de-centering error, which is error of not passing the lens optical axis through the center of the image plane. This paper attempts to correct the blind of the lens aberration and the de-centering error. To this end, Seidel aberrations are rewritten in the form of the modified Zernike moments based on the second kind Chebyshev polynomials as discrete functions on the Cartesian space. Then, the modified moments reformulated to model de-centered phase aberration function by considering the de-centering error. Finally, the model parameters are divided into two classes of symmetric and asymmetric ones. Then, these parameters are estimated through poly-spectral analysis, i.e., bi-coherence and tri-coherence analysis, respectively. Experimental results confirm the accuracy and efficiency of the proposed solution. Manuscript profile
      • Open Access Article

        2 - Training MLP Neural Network in Images Compression by GSA Method
        maryam dehbashian hamid zahiri
        Image compression is one of the important research fields in image processing. Up to now, different methods are presented for image compression. Neural network is one of these methods that has represented its good performance in many applications. The usual method in tr More
        Image compression is one of the important research fields in image processing. Up to now, different methods are presented for image compression. Neural network is one of these methods that has represented its good performance in many applications. The usual method in training of neural networks is error back propagation method that its drawbacks are late convergence and stopping in points of local optimum. Lately, researchers apply heuristic algorithms in training of neural networks. This paper introduces a new training method based on the Gravitational Search Algorithm. Gravitational Search Algorithm is the latest and newest version of swarm intelligence optimization approaches. In this algorithm, the candidate answers in search space are masses that interact with each other by gravitational force and change their positions. Gently, the masses with better fitness obtain more mass and effect on other masses more. In this research, an MLP neural network by GSA method is trained for images compression. In order to efficiency evaluation of the presented compressor, we have compared its performance toward PSO and error back propagation methods in compression of four standard images. The final results show salient capability of the proposed method in training of MLP neural networks. Manuscript profile
      • Open Access Article

        3 - DWT-SVD based Semi-Blind Digital Image Watermarking
        danyali danyali fardin akhlaghi morteza makhlooghi
        With development of digital multimedia technology and rapid growth of the Internet, illegal copy and exchange of digital multimedia sources is also spread. In such environment, copyright protection plays an essential role. In this paper a new semi- blind image watermark More
        With development of digital multimedia technology and rapid growth of the Internet, illegal copy and exchange of digital multimedia sources is also spread. In such environment, copyright protection plays an essential role. In this paper a new semi- blind image watermarking algorithm for proof of ownership is proposed. At first, the original image is transformed to transform domain and the low frequency sub-band is selected to make reference image. Then, 1-level wavelet decomposition is applied to reference and grey-scale watermark images. Finally, the embedding is done by modifying the singular values of reference image’s sub-bands with the equivalent singular values of watermark’s sub-bands. In the proposed method, the reference image is needed during the extraction process, so it is called semi blind method. Robustness of the proposed method against various attacks that are applied to the watermarked image is investigated. The experimental results show that the proposed method is more robust than previous works against different attacks and the watermarked image looks visually identical to the original image. Manuscript profile
      • Open Access Article

        4 - طراحی اولین پایگاه داده کلمات دستنویس کردی برای سیستم های تشخیص تصویری کلمات
        fatemeh daneshfar basir alagheband vahid sharafi
        چکیده: 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 More
        چکیده: 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

        5 - Image Processing of steel sheets for Defect Detection by using Gabor Wavelet
        masoud shafiee mostafa sadeghi
        In 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 More
        In 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

        6 - The Participation of Three Brain Tissues in Alzheimer’s disease Diagnosis from Structural MRI
        Shima Tajeddini Habibollah  Danyali Mohammad Sadegh  Helfroush Yaghoub  Fatemi
        Alzheimer’s disease (AD) is a progressive and irreversible disease which gradually makes patients unable to do their daily routines. Although the present treatments can not cure the disease completely, its early detection can reduce symptoms and enhance the patients’ li More
        Alzheimer’s disease (AD) is a progressive and irreversible disease which gradually makes patients unable to do their daily routines. Although the present treatments can not cure the disease completely, its early detection can reduce symptoms and enhance the patients’ life quality. In the current literature, using the grey matter (GM) tissue which is known as an appropriate biomarker is highly common in AD diagnosis. However, two other brain tissues known as cerebrospinal fluid (CSF) and white matter (WM) seem to reveal beneficial information about the patients’ brain changes. The aim of the present study is to develop an automatic system for the early diagnosis of Alzheimer’s disease from structural MRI by simultaneously considering suitable features of all GM, CSF and WM tissues. A SVM-RBF classifier is trained and evaluated on the OASIS database to separate AD from healthy control (HC) subjects. The obtained results represent higher accuracy and sensitivity of the proposed algorithm in comparison with similar method. Manuscript profile
      • Open Access Article

        7 - Provide a framework for enhancing the security of IoT-based smart homes using the IoT-A reference architecture
        Sattar Hashemi shahrouz sotoudeh
        Today, the smart home is one of the main and growing applications of the Internet of Things, which brings comfort, security, reduced energy consumption and cost of living. In addition to the benefits and advantages that this technology has brought, the issue of security More
        Today, the smart home is one of the main and growing applications of the Internet of Things, which brings comfort, security, reduced energy consumption and cost of living. In addition to the benefits and advantages that this technology has brought, the issue of security and privacy has become one of the major concerns that needs serious attention. The IoT-A reference architecture is based on examining existing protocols and resources, ensuring the compatibility of objects and communication protocols, and providing a comprehensive solution for various IoT applications. This paper seeks to provide a general framework for improving security at all levels of design, implementation, and use of equipment and protocols, using the IoT-A reference architecture to address the security challenge of the Internet of Things and smart homes. In this article, the term security framework is used to identify the set of technologies, mechanisms, software and components needed to provide a set of security needs. After examining and mapping vulnerabilities and threats in the architectural application model, this paper presents an improved security framework compared to the standard reference architecture framework. Based on the theoretical evaluation, the new framework, which was formed by adding two components of threat and vulnerability management and field management and making some changes in the licensing component, meets the security requirements of the smart home to an acceptable level and provides an appropriate degree of security and protection. Enhances IoT-A-based smart home privacy. Manuscript profile
      • Open Access Article

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

        9 - پردازش تصاویر ورق های فولادی به منظور آشکارسازی عیوب به کمک موجک گابور
        Mostafa Sadeghie masoud shafiee
        In different stages of steel production, many defects appear on the surface of the sheet. Regardless of the causes of failures, accurate detection of their types helps to correctly classify the steel sheet and thus occupies a high percentage of the quality control proce More
        In different stages of steel production, many defects appear on the surface of the sheet. Regardless of the causes of failures, accurate detection of their types helps to correctly classify the steel sheet and thus occupies a high percentage of the quality control process. Quality control of steel sheets is of great importance in order to improve product quality and maintain a competitive market. In this article, while reviewing the used image processing techniques, by using image processing with the help of two-dimensional Gabor wavelet, a fast and high-accuracy solution is presented for revealing textural defects of steel sheets. At first, using Gabor wavelet, it extracts significant textural features from the images, which includes both different directions and different frequencies. Then, using the statistical method, the images that contain the defects are selected more clearly and the location of the defect is determined. By presenting test samples, the accuracy and speed of the method used have been shown. Manuscript profile
      • Open Access Article

        10 - Training of MLP neural network in image compression using GSA method
        maryam dehbashian hamid zahiri
        One of the important research areas in image processing is image compression. Until now, various methods for image compression have been presented, among which neural networks have attracted many audiences. The most common training method of neural networks is the error More
        One of the important research areas in image processing is image compression. Until now, various methods for image compression have been presented, among which neural networks have attracted many audiences. The most common training method of neural networks is the error backpropagation method, which converges and stops at local optima are considered one of its most important weaknesses. The researchers' new approach is to use innovative algorithms in the process of training neural networks. In this article, a new educational method based on gravity search method (GSA) is introduced. The gravity search method is the latest and newest version of all types of collective intelligence search and optimization methods. In this method, the candidate answers in the search space are objects that are affected by the force of gravity and their positions change. Gradually, objects with better fit have more mass and have a greater effect on other objects. In this research, an MLP neural network is trained for image compression using the GSA algorithm. Manuscript profile
      • Open Access Article

        11 - Semi-blind labeling of images using SVD in the field of discrete wavelet transform
        morteza makhlooghi danyali danyali fardin akhlaghi
        With the rapid development of communication technology and the expansion of the Internet and the significant increase in forgery and unauthorized copying of data, the value of marking is increasing day by day. In this paper, a new semi-blind marking method using singula More
        With the rapid development of communication technology and the expansion of the Internet and the significant increase in forgery and unauthorized copying of data, the value of marking is increasing day by day. In this paper, a new semi-blind marking method using singular value decomposition (Singular Value Decomposition) in the domain of discrete wavelet transform is presented to protect property rights. In the proposed method, first the discrete wavelet transform step is applied to the original image K and its lowest frequency subband is selected as the reference image. Then, by applying a discrete wavelet transformation step to the reference image and the reference image, the unique values ​​of the frequency sub-bands of the converted signal image are embedded in the unique values ​​of the corresponding sub-bands of the reference transformed image. Since in this method, a reference image is needed to recover the sign, and the original image is not needed, therefore it is called a Semi-Blind method. The resistance of the proposed method against different attacks was investigated. The results show that the proposed method is much more resistant to various attacks than similar works, and at the same time, the marked image is more transparent. Manuscript profile
      • Open Access Article

        12 - The Geo-discourse of Takfiri IS group and its Media Representation- with emphasis on digital media
               
        This essay would explore the media dimension of operations of takfiri-terrorist IS group. To do so we will study the discourse making process of IS throughout virtual space and Virtual Networks. This article argues that establishing a discoursive system and articulating More
        This essay would explore the media dimension of operations of takfiri-terrorist IS group. To do so we will study the discourse making process of IS throughout virtual space and Virtual Networks. This article argues that establishing a discoursive system and articulating ideational concepts that construct the positions of Self and Other and give them a hegemonic status is possible via virtual networks and with enjoying of media ploys. In this regard the main question of this essay is about the evaluation of the level of efficacy of these media arenas for IS and assesing the opportunities or by contrast the threats offered by them for IS’s activism. Our hypothesis is that virtual space is useful for IS and this group thanks to a professional approach to social networks and knowing the function of media, can establish a media terrorism by psychological operation and therefore complete its geopolitics actions. Manuscript profile
      • Open Access Article

        13 - Five major factors of personality and positive and negative perfectionism as predictor of symptoms of body dysmorphic disorder in adolescent girls
        Niloofar Shahidpoor Fatemeh Ajhdari Farzad Amiri
        10.52547/.2.1.50
        The Relationship of Body Dysmorphic Disorder Symtoms with Five Big Factors of Personality and Perfectionism in 18-22 Years Old Girls in Shiraz. Purpose: The aim of the present study is evaluation the relation of body dysmorphic disorder symptoms with five big factors o More
        The Relationship of Body Dysmorphic Disorder Symtoms with Five Big Factors of Personality and Perfectionism in 18-22 Years Old Girls in Shiraz. Purpose: The aim of the present study is evaluation the relation of body dysmorphic disorder symptoms with five big factors of personality and positive and negative perfectionism in 18-22 years old girls in Shiraz. Method: This study was descriptive- correlation type study which was and has been Performed on 300 students girls 18-22 years old of Fatemieh and Shiraz University. Which participants was selected using available convenient sampling method. Data collection instruments were questioners of Body Image Concern Inventory (BICI: Litelton,2005), short NEO form five big factors of personality (NEO- 60),Terry-short positive and negative perfectionism standard questioner and demographic questioner used. The data were analyzed by analysis with using SPSS-21 software. Findings: According to Obtained results based on Pearson correlation cofficiene showed that there is a significant positive correlation between variables neuroticism (B=0/395), extraversion (B=0/144) and agreeableness (B=0/089) with body dysmorphic disorder and there is no significant correlation between variables conscientiousness and openness with body dysmorphic disorder. Body dysmorphic disorder has a significant and negative relationship with negative perfectionism. It means that by increasing negative perfectionism, body dysmorphic disorder also increases and also, Regression analysis results show that negative perfectionism, is the most powerful predictor for body dysmorphic disorder (B=0/477). Furthermore between positive perfectionism with body dysmorphic disorder there is an indirect relationship (B=-0/224) it means that by increasing positive perfectionism component, body dysmorphic disorder decrease. Result Conclusion: obtained results showed that among five big factors of personality, the three most powerful factors of Neuroticism, agreeableness and extraversion are the most powerful predictor of body dysmorphic disorder. Also negative perfectionism can cause to increase disorders,this negative perfectionism can cause exhibit disorders;that this negative perfectionism can be in relation with personality traits variable that is an important element of predicting body dysmorphic disorder causing creation and corroboration of disorder;although personality traits possed with positive perfectionism can explain the revrse result of negative perfectionism. Manuscript profile
      • Open Access Article

        14 - Analysis of Seven Domes of Nezami Ganjavi based on the Elements of Visual Arts
        زينب  نوروزي فهیمه  مختاری
        The system of language and words has a capacity and strength that can make a bridge between poetry and visual arts; possibilities like forms of imagination, sensual words and the kind of their expression, discrimination and descriptions of miniatures, drawing of concret More
        The system of language and words has a capacity and strength that can make a bridge between poetry and visual arts; possibilities like forms of imagination, sensual words and the kind of their expression, discrimination and descriptions of miniatures, drawing of concrete pictures, and attention to surface structure, form and narrative structure of poetry more than its deep structure. Nezami Among the Persian poets has applied these possibilities more; he also could approach visual arts via focusing on the visual elements and implantation of color, light, line and so on and could add the visual and visual element to his poetry; Therefore, we can find the association between poetry and visual arts in Nezami’s poesy art more obviously. This research, having a comparative view, attempts to readout and repeat different aspects of visual arts in Nezami’s Seven Domes. Manuscript profile
      • Open Access Article

        15 - ‘Multiple Head Phrase’ and Its Aesthetic Functions in Akhavan's Poetry
        فاطمه  مدرسي اميد  ياسيني
        The present research is about multiple head phrase and its aesthetic functions in Mehdi Akhavan Sales' poetry. The research has been conducted deductively. One of the linguistic introductory materials in Akhavan's poetry is to use multiple head phrase in order to extend More
        The present research is about multiple head phrase and its aesthetic functions in Mehdi Akhavan Sales' poetry. The research has been conducted deductively. One of the linguistic introductory materials in Akhavan's poetry is to use multiple head phrase in order to extend the constituents of speech and to elaborate it. Establishing lexical or semantic relations between the two head of the multiple head phrase that has been made using ‘apposition’, Akhavan makes them function as the elements of foregrounding linguistic structures, and as the aesthetic elements of poetry. The main functions of such phrases in Akhavan's poems are defamiliarization, foregrounding, leading the referential language to the poetic one, and creating beauty. Some other aesthetic functions of multiple head phrase in Akhavan's poems are to lead the language of the poems to elaboration, to describe the antecedents of the appositions, and to create an aesthetic distance between reason and emotion. Stressing the main poetic function of the multiple head phrase - which is to create the illusion of identity between the entities of different types- Akhavan selects opposition among the set of "abstract entities, objects, plants, liquids', and coordinates them with their antecedents. Doing so, he provides beautiful images which rely on creating the illusion of sameness between the entities having features of different values such as: + abstract/ - abstract, + concrete/ - concrete, + plants/ - plants, + liquid/ - liquid, and etc. Manuscript profile
      • Open Access Article

        16 - Poetry analysis of "Simorgh" and "Phoenix" in the transition from Epic and mysticism in modern Persian poetry based on the poem "Phoenix" by Nima Youshij
        sara hosseini rahman zabihi alireza shohani
        Simorgh and Phoenix, as mythical creatures, have different visual effects and images in every literary genres. The claim that this study seeks to prove is that these birds have many existential characteristics that any literary genre, according to its context, pays atte More
        Simorgh and Phoenix, as mythical creatures, have different visual effects and images in every literary genres. The claim that this study seeks to prove is that these birds have many existential characteristics that any literary genre, according to its context, pays attention to, and this point is quite obvious in the transition of classical poetry to the New-Persian one. Accordingly, in order to prove this claim, the similarities and existential differences between Simorgh and Phoenix in the prominent examples of epic, mystical and modern poetry are examined, and the differences between Nima's view from this perspective is studied and analyzed as well. The present study aims to answer two fundamental questions: What changes are occurred in the image clusters of Simorgh and Phoenix in the transition from epic and mysticism to modern Persian poetry? To what extent does the poetic image of Phoenix in Nima's poem "Phoenix" represent a new look that he sought to design and expand in modern Persian poetry from the pictorial poetics point of view? The results of this study represent that Nima uses Phoenix in a symbolic structure via utilizing the familiarity of the Iranian human mind with the images of Simorgh and Phoenix. Furthermore, this time he employs the phoenix in a symbolic structure, overcoming the objectivist aspect of his poetry and presents his socio-political thought, while the aspect of the poem always prevailed in the symbolic poems before him. In addition to presenting the complete and, of course, short narration of this poem, the findings shows Nima's new attempt to replace "the image instead of the specification", thanks to the coherence of the poetic images. Manuscript profile
      • Open Access Article

        17 - Converting protein sequence to image for classification with convolutional neural network
        reza ahsan mansour ebrahimi dianat dianat
        Since methods for sequencing machine learning sequences were not successful in classifying healthy and cancerous proteins, it is imperative to find a way to represent these sequences to classify healthy and ill individuals with deep learning approaches. In this study di More
        Since methods for sequencing machine learning sequences were not successful in classifying healthy and cancerous proteins, it is imperative to find a way to represent these sequences to classify healthy and ill individuals with deep learning approaches. In this study different methods of protein sequence representation for classification of protein sequence of healthy individuals and leukemia have been studied. Results showed that conversion of amino acid letters to one-dimensional feature vectors in classification of 2 classes was not successful and only one disease class was detected. By changing the feature vector to colored numbers, the accuracy of the healthy class recognition was slightly improved. The binary protein sequence representation method was more efficient than the previous methods with the initiative of sequencing the sequences in both one-dimensional and two-dimensional (image by Gabor filtering). Protein sequence representation as binary image was classified by applying Gabor filter with 100% accuracy of the protein sequence of healthy individuals and 98.6% protein sequence of those with leukemia. The findings of this study showed that the representation of protein sequence as binary image by applying Gabor filter can be used as a new effective method for representation of protein sequences for classification Manuscript profile
      • Open Access Article

        18 - Recognition of Factors Affecting Women's Readability of Urban Space (Case Study: Ekbatan Town, Tehran)
        Maryam Rahmati Ali Asgari Zahra Sadat Kamone Sara Shayanfar
        10.52547/row.2.2.7
        Readability is one of the main characteristics of high-quality urban environments that allow the individual to establish a favorable relationship between the individual and the urban environment for a correct and deep understanding of the environment. When placed in a r More
        Readability is one of the main characteristics of high-quality urban environments that allow the individual to establish a favorable relationship between the individual and the urban environment for a correct and deep understanding of the environment. When placed in a readable environment, the mental image of people in the form of cognitive maps of the environment, makes people navigate easily when moving in space and will not feel confused. Today, following modern urban planning and the emergence of modern residential complexes, due to the low quality of diversity, we see poor readability that Ekbatan town, as an example of modern urban planning, has poor readability. As gender affects perception and Environmental preference affects and among them, women constitute the largest population of the society, whose presence depends on readability and security in the environment. So the purpose of this article is to identify and create a readable urban space for women in Ekbatan and seeks to answer this question: What factors affect the readability of women from Ekbatan town and what is the distribution of factors in the town? This research has been done qualitatively and data analysis has been used for the final evaluation. This research firstly redefines the concepts of readability, mental image, cognitive map, women's perception using documentary studies and library resources, then based on the concepts extracted from the theoretical part of the research, identifying readability factors in Ekbatan town by field method and attending Town, preparation of mind maps, the questionnaire is realized, data is measured using percentage and reliability assessment is done with Spss software. Studies show that indigenous women with high residence time and well-understand, consider the town as a readable environment. They do not feel confused by their mental imagery of the town and its readability components. Factors affecting women's readability in the town are Basij Square, Sarem Hospital, and Nafisi Street, respectively, and the sections outside the residential blocks are more readable than the inner sections of the blocks. Manuscript profile
      • Open Access Article

        19 - The Study on Research and Technology Park Policies and its Effective Factors Case Study: NexGen Aviation Research and Technology Park
        Ali  Haji Gholam Saryazdi Manochehr Manteghi سید سعید هاشمی
        the Next Generation Aviation Research and Technology Park (NexGen ARTP) is established to meet the present and future aviation needs of USA and develop this industry. The Park, established in 2008, is in an agreement and lease with the South Jersey Economic Development More
        the Next Generation Aviation Research and Technology Park (NexGen ARTP) is established to meet the present and future aviation needs of USA and develop this industry. The Park, established in 2008, is in an agreement and lease with the South Jersey Economic Development District covering 58 acres of FAA property located at the William J. Hughes Technical Center. Thus, this paper aims to introduce NexGen ARTP and investigate the park and its policies. Also, we are offering positive leverages to top managers and policy makers of aviation technology park in Iran. In this paper, after the park introduction, we are drawing rich picture of Nexgen ARTP in order to analyse it. The Finding of Analysis includes the impacts of Federal Aviation Administration, William J. Hughes Technical Center and members; incubator and start up SMEs; park development on the New Jersey economic district development, nation, and aviation industry; universities and research centers on park. Eventually, we are extracting effective leverages and important points that include park location and external environment, collaboration, government supports, funding and precise studies and planning. Manuscript profile
      • Open Access Article

        20 - The Effect of Visual Media on the Occurrence of Deviations and Crimes in Children and Teenagers and Ways to Prevent it
        Fatemeh  Afshari javad afshari
        Background and Aim: One of the most important influencing factors in the lives of today's societies is visual media, which, in addition to having positive effects in reducing social harms, have a negative role in creating deviations and crimes and one of the vulnerable More
        Background and Aim: One of the most important influencing factors in the lives of today's societies is visual media, which, in addition to having positive effects in reducing social harms, have a negative role in creating deviations and crimes and one of the vulnerable groups in this field are children and teenagers. This study was conducted with the aim of investigating the impact of visual media on the occurrence of deviations and crimes among children and teenagers and discussing ways to prevent it. Method: The present study was conducted using descriptive-analytical method and using documentary (library) resoureces. Results: Visual media, by getting the audience used to the events, desensitization and inattention, etc., provide the basis for learning violence from the media. Younger people are much more influenced by the media, and this is due to their realism, their incomplete cognitive ability, and their inability to relate the scenes of the program to the final result. With the development of global media outside the control of governments, such as satellites and the Internet, and providing inappropriate models, negative training, airing programs with no purpose, not paying attention to the age of the audience, and not showing the results of actions, the role of the mentioned media in the spread of crimes and deviations such as violence, running away from home, free sexual relations, and sexual addiction are undeniable, especially among young people. Conclusion: Due to the negative impact of visual media on children and teenagers in terms of creating grounds for deviance and committing crimes, it is necessary for the government, people, family and mass media to make a joint effort to deal with the content of inappropriate and replace it with healthy programs and entertainment. Manuscript profile
      • Open Access Article

        21 - Template, image maker in vahshi bafghi poem
        ayat shokati alireza tayogh
        The image, if not the basis of the poem, is one of the main elements of its construction; the poets, by creating their poetic images, as well as displaying their imagination, reveal individual tendencies and their personal and periodic style. The study titled "The Simil More
        The image, if not the basis of the poem, is one of the main elements of its construction; the poets, by creating their poetic images, as well as displaying their imagination, reveal individual tendencies and their personal and periodic style. The study titled "The Simile, the Image Format in vahshi bafghi poem, examines the poet's sonnets in terms of the quantity and quality of the images, and, using stylistic considerations, makes it clear that the poet picks up his image. In his sonnets, he seems to have used the analogy to almost metaphor according to his tendency to simplify. Manuscript profile
      • Open Access Article

        22 - Landscape visualization methods in “Vis and Rāmin”
        alimohammad rezaeihaftador
        Abstract: The main issue in this paper is to examine Landscape visualization methods in "Vis and Ramin" Fakhruddin As'ad Gorgani. First, extract all images and then in term of content are categories as below: A) Water picture; b) sky picture; c) the image of the sun; More
        Abstract: The main issue in this paper is to examine Landscape visualization methods in "Vis and Ramin" Fakhruddin As'ad Gorgani. First, extract all images and then in term of content are categories as below: A) Water picture; b) sky picture; c) the image of the sun; d) moon picture (e) Picture of flowers and plants. The findings of this paper show that, from the perspective of linguistic images (real) and virtual is overcome with virtual images. So it can be concluded that, Gorgani is considered to provide a realistic image of nature than the artistic use of nature images in Rhetoric and spiritual framework. Furthermore, from the perspective of dynamic and static images, from examined images such as the most ancient image overcome with static images, however, in rare cases can be seen the dynamic images. It is worthy of praise and it can be said that, Gorgani is observant (Argus-eyed) poet, with sense of humor, rich and impeccable taste. These features make him accomplish in description and nature landscapes illustration and show part of his eloquence power in this field. Manuscript profile
      • Open Access Article

        23 - A study of imagery innovation in Fazel Nazari poems based on natural images
        sohila ebrahimzadeh razieh aqazadeh
        Contemporary poets have been aware that art with initiative and innovation has a double emotional impact and imitation and repetition is the death of art. One of the components of poetry that is an arena for displaying innovation and provides an opportunity for the eme More
        Contemporary poets have been aware that art with initiative and innovation has a double emotional impact and imitation and repetition is the death of art. One of the components of poetry that is an arena for displaying innovation and provides an opportunity for the emergence of individual poetry of each poet the images are poetic and nature and natural elements are resources which has always been considered in poetic illustration. Fazel Nazari is one of the contemporary modernist poets which explores the natural elements to create new images by punctuation and narrow-mindedness and with an emphasis on personal perspective and climatic elements, creates amazing and unique images. Contemporary poets have been aware that art with innovation has a double emotional impact and imitation is the death of art. One of the components of poetry that is an arena for displaying innovation and provides an opportunity for the emergence of individual poetry of each poet the images are poetic and nature and natural elements are resources which has always been considered in poetic illustration. Fazel Nazari is one of the contemporary modernist poets which explores the natural elements to create new images by punctuation and narrow-mindedness and with an emphasis on personal perspective and climatic elements, creates amazing and unique images. In the present study, after studying the published works this poet it was found that Fazel is an illustrator poet. He with depth and accuracy discovers different features of a natural phenomenon, then he remembers and finds a connection between itself and those natural phenomena and with his artistic creativity, he creates a new image. Moon and Pond and Swamp, Waves, Rocks and Rivers, Pomegranate and Desert which is one of the climatic elements around it and … they are repetitive images which has been considered by this poet from various angles and are formed to express the poet's personal moods and emotions. Most of these images are in the form of similes and is of the sensible analogy to the sensible which is the most artistic type of simile. Along with many similes, simple metaphors and allusions and common Persian proverbs also have been employed. Manuscript profile
      • Open Access Article

        24 - A Likelihood Ratio Approach to Information Fusion for Image-Based Fingerprint Verification
        M. S. Helfroush M. Mohammadpour
        Image-based fingerprint verification systems have been considered as a parallel method against the minutiae-based approach. This paper proposes a training based fusion method for fingerprint verification, using likelihood ratio (L.R). In this method, the matching scores More
        Image-based fingerprint verification systems have been considered as a parallel method against the minutiae-based approach. This paper proposes a training based fusion method for fingerprint verification, using likelihood ratio (L.R). In this method, the matching scores which are extracted from orientation, spectral and textural features are fused. In order to fuse these image-based features, the likelihood ratio approach has been employed. FVC2000 database has been selected to evaluate the method. Also, the proposed method has been compared to a similar one that uses the simple sum as its fusion system. The comparison results show that the proposed fusion method has made a significant improvement for the accuracy of matching system, so that the equal error rate (ERR) of proposed system has been reduced to 0.14%. Manuscript profile
      • Open Access Article

        25 - Unsupervised Image Clustering Using Central Force Optimization Algorithm Unsupervised Image Clustering Using Central Force Optimization Algorithm
        M. H. Mozafari Maref Seyed-Hamid Zahiri
        Central Force Optimization (CFO) is a new member of heuristic algorithms which has been recently proposed and added to swarm intelligence algorithms. In this paper, an effective unsupervised image clustering technique is proposed, using CFO and called CFO-clustering. In More
        Central Force Optimization (CFO) is a new member of heuristic algorithms which has been recently proposed and added to swarm intelligence algorithms. In this paper, an effective unsupervised image clustering technique is proposed, using CFO and called CFO-clustering. In the presented method, each probe includes the information of center of the clusters, and fitness function contains both inter-distance and intra-distance of the samples. Extensive experimental results show that the proposed CFO-clustering outperforms other similar clustering algorithms which were designed based on the evolutionary techniques. Manuscript profile
      • Open Access Article

        26 - Sub-Word Image Clustering in Old Printed Documents Using Template Matching
        M. R. Soheili E. Kabir
        Due to the rapid growth of digital libraries, digitizing large documents has become an important topic. In a quite long book, similar characters, sub-words and words will occur many times. In this paper, we propose a sub-word image clustering method for the applications More
        Due to the rapid growth of digital libraries, digitizing large documents has become an important topic. In a quite long book, similar characters, sub-words and words will occur many times. In this paper, we propose a sub-word image clustering method for the applications dealing with large uniform documents. We assumed that the whole document is printed in a single font and print quality is not good. To test our method, we created a dataset of all sub-words of a Farsi book. The book has 233 pages with more than 111000 sub-words manually labeled. We use an incremental clustering algorithm. Four simple features are extracted from each sub-word and compared with the corresponding features of each cluster center. If all features' differences lie within certain thresholds, the sub-word and the winner cluster center are finely compared using a template matching algorithm. In our experiments, we show that all sub-words of the book are recognized with more than 99.7% accuracy by assigning the label of each cluster center to all of its members. Manuscript profile
      • Open Access Article

        27 - Visual Target Tracking Using Geometrical Particle Filter and Analytic Color-Based Histogram Model
        N. Ghasemi P. Moallem M. F. Sabahi
        Color is an important feature to describe object in visual tracking. Color-based histogram is used to model the object properly and Bhattacharya distance is also used to measure the error between reference and candidate histogram. Particles filter estimate position of t More
        Color is an important feature to describe object in visual tracking. Color-based histogram is used to model the object properly and Bhattacharya distance is also used to measure the error between reference and candidate histogram. Particles filter estimate position of target while two-dimension affine transformation is used as state of the system. Considering geometric properties of affine transformation as affine group cause two-dimensional mapping of the object to be closer to the real three-dimensional model. Approximation of optimal importance function of particles filter is obtained from Taylor expansion of Bhattacharya distance. Experiments show the accuracy and stability of the proposed tracker for fast and complex movement of a color target versus the gray level geometric particle filtering algorithm. Manuscript profile
      • Open Access Article

        28 - A Multi-Resolution Learning Based Method for Multimodal Medical Image Registration
        S. S. Alehojat Khasmakhi M. R.  Keyvanpour
        The main purpose in various methods of image registration is to find the transformation parameters for accurate mapping an image onto another image coordinates. In medical sciences creating a precise mapping between medical images data is very important in application More
        The main purpose in various methods of image registration is to find the transformation parameters for accurate mapping an image onto another image coordinates. In medical sciences creating a precise mapping between medical images data is very important in application such as diagnosis and treatment. Accordingly, several approaches have been proposed for image registration. The compression of results and performance between different image registration algorithms was the main motivation for this research to design and implement a new hybrid algorithm so that provide high accuracy in multimodal image registration. Automating the image registration process by using machine learning approach is the innovation of this method compared to previous ones. To this end, the proposed method which is named multi resolution learning is composed of multi resolution decomposition and a hierarchical neural network which it learn the transformation parameters by using global properties of the image and uses learned transformation parameter for image registration. The proposed method is implemented and tested on the medical images of Vanderbilt university database. Experiment result show acceptable accuracy for the proposed method compared with other methods. Manuscript profile
      • Open Access Article

        29 - Example-Based single Document Image Super Resolution Using Asynchronous Sequential Gradient Descent Algorithm
        A. Abedi E. Kabir
        In this paper, a new method for resolution enhancement of single document images is presented. The proposed method is example based using an example set of low-resolution and high-resolution training patches. According to the Bayes rule, one function is considered as th More
        In this paper, a new method for resolution enhancement of single document images is presented. The proposed method is example based using an example set of low-resolution and high-resolution training patches. According to the Bayes rule, one function is considered as the likelihood or data-fidelity term that measures the fidelity of the output high-resolution to the input low-resolution image. As well, three other functions are considered as the regularization terms containing the prior knowledge about the desired high-resolution document image. Three priors which are fulfilled by the regularization terms are bimodality of document images, smoothness of background and text regions, and similarity to the patches in the example set. By minimizing these four energy functions through the iterative procedure of asynchronous sequential gradient descent, the HR image is reconstructed. Instead of synchronous minimization of the linear combination of these functions, they are minimized in order and according to the gradual changes in their values and in the updating HR image. Therefore, determining the coefficients of the linear combination, which are variable for input images, is no longer required. In the experimental results on twenty document images with different fonts, at different resolutions, and with different amounts of noise and blurriness, the proposed method achieves significant improvements in visual image quality and in reducing the computational complexity. Manuscript profile
      • Open Access Article

        30 - Identification and Contribution Evaluation of Interharmonic Sources in a Power System Using Adaptive Linear Neuron and Superposition and Projection Method
        P. Sarafrazi H. R. Mohammadi
        In this paper a new method for identification of interharmonic producing loads in a power system is proposed which is capable of evaluating the contribution of each individual load in the point of common coupling. This method is based on using the superposition and proj More
        In this paper a new method for identification of interharmonic producing loads in a power system is proposed which is capable of evaluating the contribution of each individual load in the point of common coupling. This method is based on using the superposition and projection method which needs the norton equivalent circuit of loads and supply network. Also in the proposed method, a two-stage adaptive linear neuron is used for determining the interharmonic components of a signal. The effectiveness of the proposed method has been shown through simulation studies in the MATLAB/SIMULINK software. The simulation results show the capability of the proposed method for identification and contribution evaluation of interharmonic sources in a power system. Manuscript profile
      • Open Access Article

        31 - Identification and Contribution Evaluation of Interharmonic Sources in a Power System Using Adaptive Linear Neuron and Superposition and Projection Method
        P. Sarafrazi H. R. Mohammadi
        In this paper a new method for identification of interharmonic producing loads in a power system is proposed which is capable of evaluating the contribution of each individual load in the point of common coupling. This method is based on using the superposition and proj More
        In this paper a new method for identification of interharmonic producing loads in a power system is proposed which is capable of evaluating the contribution of each individual load in the point of common coupling. This method is based on using the superposition and projection method which needs the norton equivalent circuit of loads and supply network. Also in the proposed method, a two-stage adaptive linear neuron is used for determining the interharmonic components of a signal. The effectiveness of the proposed method has been shown through simulation studies in the MATLAB/SIMULINK software. The simulation results show the capability of the proposed method for identification and contribution evaluation of interharmonic sources in a power system. Manuscript profile
      • Open Access Article

        32 - Seam Carving Speed Improvement by Odd and Even Subimages Decomposition
        F. Siar S. Mozaffari
        Seam carving is one of content aware image retargeting techniques. In this method, a path of pixels with lowest energy, called seam, crossing from top to bottom or from left to right in an image is extracted. By removing or inserting seams, size of the image can be chan More
        Seam carving is one of content aware image retargeting techniques. In this method, a path of pixels with lowest energy, called seam, crossing from top to bottom or from left to right in an image is extracted. By removing or inserting seams, size of the image can be changed. Speed and quality are two main parameters in seam carving. In this paper a new method for speed enhancement of seam carving is proposed. The input image is decomposed into odd and even subimages and searching for seams is performed in parallel in these subimages. Compared to the original seam carving, the proposed method improves the speed at least by two times while maintain image’s quality unchanged. Previous seam searching algorithms can be utilized in our method or it can be combined with other parallel processing schemes. Finally, image quality of the proposed seam carving is improved. Manuscript profile
      • Open Access Article

        33 - A Self-Learning Single Image Super-Resolution by Considering Consistency in Adjacent Pixels
        M. Habibi A. Ahmadyfard H. hassanpour
        In this paper, we propose a self-learning single image super-resolution. In our proposed method, adjacent pixels information in smooth area is used. Low and high-resolution pyramids are built by applying up-sampling and down-sampling techniques on input image, as traini More
        In this paper, we propose a self-learning single image super-resolution. In our proposed method, adjacent pixels information in smooth area is used. Low and high-resolution pyramids are built by applying up-sampling and down-sampling techniques on input image, as training data. In training phase, we apply support vector regression (SVR) to model the relationship between the pair of low and high-resolution images. For each patch in the low-resolution image, sparse representation is extracted as a feature vector. In this paper, in order to reduce the edge blurring effects, we first separate edge pixels from non-edge pixels. In the smooth area, because of the similar colors around the each pixel, the center pixel value is determined by considering the reconstructed adjacent pixels. Experimental results show that the proposed method is quantitatively and qualitatively outperform the competitive super-resolution approaches. Manuscript profile
      • Open Access Article

        34 - Grayscale Images Deblurring Using Robust Optimization Problem in Uncertainty Conditions in Blurring Model Parameters
        Zeinab Mohammadi Ebrahim Daneshifar Abbas Ebrahimi moghadam M. Khademi
        Nowadays, one of the most important issues in the field of image processing is image de-blurring. De-blurring of an image can be achieved via two different approaches; blind de-blurring and non-blind de-blurring. In blind de-blurring, the kernel by which the blur has oc More
        Nowadays, one of the most important issues in the field of image processing is image de-blurring. De-blurring of an image can be achieved via two different approaches; blind de-blurring and non-blind de-blurring. In blind de-blurring, the kernel by which the blur has occurred is assumed unknown, while in non-blind de-blurring, this kernel is given. In blind de-blurring, the blurring kernel must be estimated in order to sharpen the corrupted image. This may increase the computational cost of the de-blurring process. Non-blind image de-blurring is an ill-posed problem with linear reverse issues. Therefore, we develop optimization problems in order to estimate the original sharp images. Usually, non-blind de-blurring methods assume that the blurring kernel is error-free, however, in practice our knowledge of the PSF is uncertain. Hence, in this paper, we use a semi-blind method for de-blurring the blurred image that is robust to this uncertainty. The proposed robust optimization model is followed by a filter for image de-blurring that can attain the solution with lowest possible error in the worst case scenarios, that is, the maximum uncertainty about the blurring kernel. Based on the simulation results, our proposed semi-blind model yields more than 4 dB PSNR improvements compared to conventional blind image de-blurring methods. Manuscript profile
      • Open Access Article

        35 - Variational Bayesian inference in Noise Removal from Hyperspectral Images Using Cluster-Based Latent Variables
        T. Bahraini Abass Ebrahimi moghadam M. Khademi H. Sadoghi Yazdi
        Removing noise from hyperspectral images is an inevitable step to improve the quality of these types of images. Many methods have been proposed by researchers in this field. Most of these methods do not address simultaneous spatial-spectral similarities. When the noise More
        Removing noise from hyperspectral images is an inevitable step to improve the quality of these types of images. Many methods have been proposed by researchers in this field. Most of these methods do not address simultaneous spatial-spectral similarities. When the noise removal method applies data globally without regard to spatial-spectral similarities, it usually has a negative effect on low-level pixels; when in the spectral data, a large number of pixels have little noise and a small number of pixels are destroyed by the high level of noise. In this paper, we first extract spatial-spectral similarities in images by defining cluster-based latent variables. In the following, a low-rank matrix factorization method based on these latent variables is proposed to eliminate the noise of hyperspectral images and to improve the resistance to noise (as compared to other methods). The performance of the proposed method is compared visually with six new methods on real noise-contaminated images. For quantitative comparison, the same experiments are done on clean images combined with six types of simulated noise. The simulation results show that by applying latent variables in the Bayesian inference framework, the performance of the noise removal method is improved and the proposed method performs better than the other methods. Manuscript profile
      • Open Access Article

        36 - Improving the Architecture of Convolutional Neural Network for Classification of Images Corrupted by Impulse Noise
        Mohammad Momeny M. Agha Sarram A. M.  Latif R. Sheikhpour
        Impulse noise is one the common noises which reduces the performance of convolutional neural networks (CNNs) in image classification. Preprocessing for removal of impulse noise is a costly process which may have a destructive effect on the training and validation of the More
        Impulse noise is one the common noises which reduces the performance of convolutional neural networks (CNNs) in image classification. Preprocessing for removal of impulse noise is a costly process which may have a destructive effect on the training and validation of the convolutional neural networks due to insufficient improvement of noisy images. In this paper, a convolutional neural network is proposed which is robust to impulse noise. Proposed CNN classify images corrupted by impulse noise without any preprocessing for noise removal. A noise detection layer is placed at the beginning of the proposed CNN to prevent the processing of noisy values. The ILSVRC-2012 database is used to train the proposed CNN. Experimental results show that preventing the impact of impulse noise on the training process and classification of CNN can increase the accuracy and speed of the network training. The proposed CNN with error of 0.24 is better than other methods in classification of noisy image corrupted by impulse noise with 10% density. The time complexity of O(1) in the proposed CNN for robustness to noise indicates the superiority of the proposed CNN. Manuscript profile
      • Open Access Article

        37 - Improving Age Estimation of Dental Panoramic Images Based on Image Contrast Correction by Spatial Entropy Method
        Masoume Mohseni Hussain Montazery Kordy Mehdi Ezoji
        In forensic dentistry, age is estimated using dental radiographs. Our goal is to automate these steps using image processing and pattern recognition techniques. With a dental radiograph, the contour is extracted and features such as apex, width and tooth length are dete More
        In forensic dentistry, age is estimated using dental radiographs. Our goal is to automate these steps using image processing and pattern recognition techniques. With a dental radiograph, the contour is extracted and features such as apex, width and tooth length are determined, which are used to estimate age. Optimizing the resolution of radiographic images is an important step in contour extraction and age estimation. In this article, the aim is to improve the image resolution in order to extract the appropriate area and proper segmentation of the tooth, which makes it possible to estimate age better. In this model, due to the low resolution of radiographic images, in order to increase the accuracy of extracting the desired area of each tooth (ROI), the image resolution increases using spatial entropy based on the spatial distribution of pixel brightness, along with another increasing resolution method, like the Laplacian pyramids. Increasing the resolution of the image leads to the extraction of appropriate ROI and the removal of unwanted areas. The database used in this study is 154 adolescent panoramic radiographs, of which 73 are male and 81 are female. This database is prepared from Babol University of Medical Sciences. The results show that by using fixed tooth segmentation methods and only by applying the proposed effective method to improve image resolution, the extraction of appropriate ROI increased from 66% to 78% which shows a good improvement. The extracted ROI is then delivered to the segmented block and the contour extracted. After contour extraction, age is estimated. The age estimation using the proposed method is closer to the manual age estimate compared to the method that does not use the proposed algorithm to increase the image resolution. Manuscript profile
      • Open Access Article

        38 - An Intelligent Vision System for Automatic Forest Fire Surveillance
        Mohammad Sadegh  Kayhanpanah Behrooz Koohestani
        Fighting forest fires to avoid their potential dangers as well as protect natural resources is a challenge for researchers. The goal of this research is to identify the features of fire and smoke from the unmanned aerial vehicle (UAV) visual images for classification, o More
        Fighting forest fires to avoid their potential dangers as well as protect natural resources is a challenge for researchers. The goal of this research is to identify the features of fire and smoke from the unmanned aerial vehicle (UAV) visual images for classification, object detection, and image segmentation. Because forests are highly complex and nonstructured environments, the use of the vision system is still having problems such as the analogues of flame characteristics to sunlight, plants, and animals, or the smoke blocking the images of the fire, which causes false alarms. The proposed method in this research is the use of convolutional neural networks (CNNs) as a deep learning method that can automatically extract or generate features in different layers. First, we collect data and increase them according to data augmentation methods, and then, the use of a 12-layer network for classification as well as transfer learning method for segmentation of images is proposed. The results show that the data augmentation method used due to resizing and processing the input images to the network to prevent the drastic reduction of the features in the original images and also the CNNs used can extract the fire and smoke features in the images well and finally detect and localize them. Manuscript profile
      • Open Access Article

        39 - Detection and Recovery of Corrupted Images After High Rate of Tampering Attacks
        Faranak Tohidi Mohammad Reza Hooshmandasl
        In recent years, illegally copying digital images and even manipulating them, without great loss of quality and at a low cost has been made possible. Watermarking has recently been developed as one of the methods to detect that tampering has occurred and even enable som More
        In recent years, illegally copying digital images and even manipulating them, without great loss of quality and at a low cost has been made possible. Watermarking has recently been developed as one of the methods to detect that tampering has occurred and even enable some recovery of the original images. However, there are still many issues to resolve in providing an effective watermark that can detect and recover a wide range of manipulations. Furthermore, the accuracy of detecting and the capability of the recovery of the original images by existing methods are still not at an acceptable level. These problems are more critical when certain high-rate manipulation attacks occur. In this paper, a watermarking method will be introduced that not only is able to detect any tampering, but also can successfully recover the original images in high quality, even at high tampering rates. In this method, Singular Value Decomposition (SVD) is used to detect tampering and Optimal Iterative Block Truncation Coding (OIBTC) has also been applied to recover lost data. This paper proposes a powerful way to increase detection sensitivity while increasing watermark resistance for the effective recovery of corrupted images. The results prove the superiority of the proposed method over current methods.92% of tasks are executed successfully in the edge environment. Manuscript profile
      • Open Access Article

        40 - Increasing Image Quality in Image Steganography Using Genetic Algorithm and Reversible Mapping
        Saeed TorabiTorbati مرتضی خادمی عباس ابراهیمی مقدم
        One of the evaluation methods for image steganography is preserving cover image quality and algorithm imperceptibility. Placing hidden information should be done in such a way that there is minimal change in quality between the cover image and the coded image (stego ima More
        One of the evaluation methods for image steganography is preserving cover image quality and algorithm imperceptibility. Placing hidden information should be done in such a way that there is minimal change in quality between the cover image and the coded image (stego image). The quality of the stego image is mainly influenced by the replacement method and the amount of hidden information or the replacement capacity. This can be treated as an optimization problem and a quality function can be considered for optimization. The variables of this function are the mappings applied to the cover image and the hidden information and location of the information. In the proposed method, by genetic algorithm and using the two concepts of targeted search and aimless search, the appropriate location and state for placement in the least significant bits of the cover image are identified. In this method, hidden information can be extracted completely and without error. This feature is important for management systems and cloud networks that use steganography to store information. Finally, the proposed method is tested and the results are compared with other methods in this field. The proposed method, in addition to maintaining the stego image quality, which is optimized based on PSNR, has also shown good performance in examining histogram and NIQE statistical criteria. Manuscript profile
      • Open Access Article

        41 - Prediction of sexual satisfaction based on body image and perfectionism amongst pregnant women
        morteza Andalib Kourayem maryam morsali saeed mahmoodinia
        10.52547/fash.2.1.65
        Introduction: The purpose of this study was to predict sexual satisfaction based on the components of body image and perfectionism in pregnant women. Methods: The research method was descriptive correlational. The study population was pregnant women residing in Tehran More
        Introduction: The purpose of this study was to predict sexual satisfaction based on the components of body image and perfectionism in pregnant women. Methods: The research method was descriptive correlational. The study population was pregnant women residing in Tehran in May and June. The sample size was 160 according to Tabachnik and Fidel formula and were selected by available sampling. The instruments of this study were sexual satisfaction questionnaires of Hudson et al, (1981), body image of Fisher (1970, perfectionism of Hewitt and Felt (1991). Results: Results of simple and multiple regression analysis showed that sexual satisfaction of pregnant women was predictable based on body image. So that the relationship between body image and sexual satisfaction is positive and among the components of body image, only the lower limb dimension has a positive and significant relationship with sexual satisfaction.Conclusion: Sexual satisfaction of women is predictable based on perfectionism and there is a positive and significant correlation between social orientation and orbital self-perfectionism with sexual satisfaction of pregnant women. Women's sexual satisfaction is predictable based on perfectionism and body image. The role of perfectionism is more important than body image. Manuscript profile
      • Open Access Article

        42 - The role and stance of bees in the illustrations of Masnavi M'anavi
        Ruhollah Karimi Noureddinvand Amirhossein saeedipour
        10.52547/qap.32283.4.3.109
        Abstract In the worldview of mystical and ethical poets, image is one of the most effective strategies to express the transcendent mystical and moral concepts. Rumi, one of the most famous illustrators in the realm of mystical literature, while telling his stories and More
        Abstract In the worldview of mystical and ethical poets, image is one of the most effective strategies to express the transcendent mystical and moral concepts. Rumi, one of the most famous illustrators in the realm of mystical literature, while telling his stories and mystical and instructive and teachings in Masnavi M'anavi, has made the concepts tangible for his audience with his intelligent and artistic performance in using images. Amongst most of his poems, especially in Masnavi, nature and its phenomena have a special stance. One of the creatures that Rumi specifically illustrates and mentions in Masnavi is bee and its belongings (nectar, honey, wax and sting).Being aware of the importance of this insect in the Holy Qur'an and emphasizing on some of the most important aspects of its life, Rumi has established a link between this creature and some aspects of human life and used this insect to create real and virtual images of Masnavi to express mystical and moral concepts.Referring to Rumi's illustrations of bees in Masnavi by analyzing its imagery, this study tried to analyze the profound mystical and moral meanings and concepts hidden in these images and achieve knowledge and awareness of this creature and its images in Masnavi through their investigation and expansion. Manuscript profile
      • Open Access Article

        43 - A Content-Based Image Retrieval System Using Semi-Supervised Learning and Frequent Patterns Mining
        Maral Kolahkaj
        Content-based image retrieval, which is also known as query based on image content, is one of the sub-branches of machine vision, which is used to organize and recognize the content of digital images using visual features. This technology automatically searches the imag More
        Content-based image retrieval, which is also known as query based on image content, is one of the sub-branches of machine vision, which is used to organize and recognize the content of digital images using visual features. This technology automatically searches the images similar to the query image from huge image database and it provides the most similar images to the users by directly extracting visual features from image data; not keywords and textual annotations. Therefore, in this paper, a method is proposed that utilizes wavelet transformation and combining features with color histogram to reduce the semantic gap between low-level visual features and high-level meanings of images. In this regard, the final output will be presented using the feature extraction method from the input images. In the next step, when the query images are given to the system by the target user, the most similar images are retrieved by using semi-supervised learning that results from the combination of clustering and classification based on frequent patterns mining. The experimental results show that the proposed system has provided the highest level of effectiveness compared to other methods. Manuscript profile
      • Open Access Article

        44 - Effectiveness of Acceptance and Commitment Group Therapy on Binge Eating and Body Image Concerns in Sufferers of Binge Eating Disorder
        Sadrollah Khosravi sahar esmaeili
        The purpose of this study was to determine the efficacy of acceptance and commitment therapy on binge eating and body image concerns in sufferers of binge eating disorder. The research method was quasi-experimental with pretest-posttest with experimental and control gro More
        The purpose of this study was to determine the efficacy of acceptance and commitment therapy on binge eating and body image concerns in sufferers of binge eating disorder. The research method was quasi-experimental with pretest-posttest with experimental and control groups. The population of the study consisted of all the clients who were referred to Shiraz weight loss clinics from January to March 2018. Among the patients diagnosed with binge eating disorder, 30 clients were selected using purposive sampling method and administered Binge Eating Scale and Body Image Concern Inventory as pre-tests. They were randomly assigned to experimental and control groups. The experimental group received 8 sessions of 90-minutes acceptance and commitment therapy, and were tested again. The results showed that there was a significant difference between pre-test and post-test in the level of binge eating disorder symptoms and body image concerns in this group. This study showed that acceptance and commitment group therapy is effective in reducing binge eating and body image concerns in sufferers of binge eating disorder. Manuscript profile
      • Open Access Article

        45 - Fractures systematic analysis Asmari reservoir Formation in the Marun oil field (based on image logs interpretation results)
        فارسی مدان arsimadan
        In the oil buildings to investigate fractures in the reservoir rock fractures in stages of production and field development is very important and necessary. Now application of software repository in the realization of this issue will help to petroleum with the geologist More
        In the oil buildings to investigate fractures in the reservoir rock fractures in stages of production and field development is very important and necessary. Now application of software repository in the realization of this issue will help to petroleum with the geologists.. Marun oil field is one of the largest oil fields in the South West Iran of the city of Ahvaz in the Northeast and the North embayment Dezful of geology in the eastern. Marun field is the most important Asmari reservoir. The aim of this study was to investigate systematically Asmari reservoir fractures and the development of fractures in the reservoir. For this purpose, using image logs, best and most complete method interpretation and results of 11 wells in fracture studying and 16 wells in in-situ stress direction studying. According to frequency of fractures (based on image logs interpretation results) in the southern and north-eastern limb of the field, The theory of tectonic folding and bending events later caused the possible activities during the north-south strike-slip faults affect the compression force has been created to strengthen. Most of image logs data in Marun field are fractures with extensions; N155E, N130E, N95E, N60E, N30E. Manuscript profile
      • Open Access Article

        46 - Fractures systematic analysis Asmari reservoir Formation in the Marun oil field (based on image logs interpretation results)
        Zahra Kamali Mohammad reza Mahdevar meysam farsi madan
        In the oil buildings to investigate fractures in the reservoir rock fractures in stages of production and field development is very important and necessary. Now application of software repository in the realization of this issue will help to petroleum with the geologi More
        In the oil buildings to investigate fractures in the reservoir rock fractures in stages of production and field development is very important and necessary. Now application of software repository in the realization of this issue will help to petroleum with the geologists.. Marun oil field is one of the largest oil fields in the South West Iran of the city of Ahvaz in the Northeast and the North embayment Dezful of geology in the eastern. Marun field is the most important Asmari reservoir. The aim of this study was to investigate systematically Asmari reservoir fractures and the development of fractures in the reservoir. For this purpose, using image logs, best and most complete method interpretation and results of 11 wells in fracture studying and 16 wells in in-situ stress direction studying. According to frequency of fractures (based on image logs interpretation results) in the southern and north-eastern limb of the field, The theory of tectonic folding and bending events later caused the possible activities during the north-south strike-slip faults affect the compression force has been created to strengthen. Most of image logs data in Marun field are fractures with extensions; N155E, N130E, N95E, N60E, N30E Manuscript profile
      • Open Access Article

        47 - Fractures systematic analysis Asmari reservoir Formation in the Marun oil field (based on image logs interpretation results)
        meysam farsi madan Mohammad reza Mahdevar Zahra Kamali
        In the oil buildings to investigate fractures in the reservoir rock fractures in stages of production and field development is very important and necessary. Now application of software repository in the realization of this issue will help to petroleum with the geologi More
        In the oil buildings to investigate fractures in the reservoir rock fractures in stages of production and field development is very important and necessary. Now application of software repository in the realization of this issue will help to petroleum with the geologists.. Marun oil field is one of the largest oil fields in the South West Iran of the city of Ahvaz in the Northeast and the North embayment Dezful of geology in the eastern. Marun field is the most important Asmari reservoir. The aim of this study was to investigate systematically Asmari reservoir fractures and the development of fractures in the reservoir. For this purpose, using image logs, best and most complete method interpretation and results of 11 wells in fracture studying and 16 wells in in-situ stress direction studying. According to frequency of fractures (based on image logs interpretation results) in the southern and north-eastern limb of the field, The theory of tectonic folding and bending events later caused the possible activities during the north-south strike-slip faults affect the compression force has been created to strengthen. Most of image logs data in Marun field are fractures with extensions; N155E, N130E, N95E, N60E, N30E. Manuscript profile
      • Open Access Article

        48 - Comparison of image log interpretation and core analysis advantages for study of fractures in hydrocarbon reservoir rocks: a case study in the Asmari reservoir Aghajari oil field
        Masumeh Vatan dust Ali Farzipour Saein Esmaeil Salarvand
        The Oligo-Miocene Asmari Formation is one of the main reservoir rocks of SW Iran with several decades of production history from different oil fields in the Zagros fold- thrust belt. One of the main reasons for the high quality of the Asmari reservoir is well develope More
        The Oligo-Miocene Asmari Formation is one of the main reservoir rocks of SW Iran with several decades of production history from different oil fields in the Zagros fold- thrust belt. One of the main reasons for the high quality of the Asmari reservoir is well developed fracture system in this formation. Characteristics of fractures such as type, opening and orientation can be determined by the core analysis and also interpreting the image logs. This paper attempts to compare the advantages of the image log and core analysis in detecting fractures and other geological feathers in different zones of the Asmari Formation. To achieve this goal, we have compared the image log and core of well no. 89 of the Aghajari oil field. Comparison of the core well no. 89 of the Aghajari oil field with its image log revealed distinguish of the bedding planes in the core easier and more reliable than the image log. This study demonstrates the image log is more capable than core to detect the open fractures, while it is not suitable for detecting filled fractures. Indeed, image log rarely can detect shear fractures, but if it is calibrated with core, it can detect shear fractures with reasonable accuracy. Manuscript profile
      • Open Access Article

        49 - Study the role of drilling mud loss modeling and FMI log in determining Asmari reservoir fractures in one of the oil fields in Southwest Iran
        Kioumars Taheri Mohammad Reza  Rasaei Abbas Ashjaei
        Understanding of oil and gas reservoirs is of great help in maximizing hydrocarbon recovery. In the study of the characteristics of oil structures, the study of fractures of reservoir rock in the stages of production and development of the field is very necessary. Nowad More
        Understanding of oil and gas reservoirs is of great help in maximizing hydrocarbon recovery. In the study of the characteristics of oil structures, the study of fractures of reservoir rock in the stages of production and development of the field is very necessary. Nowadays, the use of mud loss modeling and image logs in helping accomplish this task is of great assistance to oil geologists. Since the most of Iran's reservoirs are carbonate kind, investigating and identifying fractures, the degree of fissures opening and porosity distribution in the Asmari reservoir field of study, It is one of the most effective factors in the production of hydrocarbons from this field. One of the best ways to identify and interpret geology in the well, using of the FMI image log is, which can create high quality images from the well. With the help of the images provided, can determine the types of fractures, porosity, the distribution of diagenetic porous spaces and the estimation of permeability trend. In this article, first, structure and Functionality of the FMI image log and then drilling and production problems were evaluated in Asmari reservoir. In the following, the functional role of the log in interpreting and determining the degree of fissures opening, porosity distribution and permeability level in 8 wells in Asmari reservoir, has been evaluated. In this study, identification of Asmari reservoir fractures and how to expand these fractures in the reservoir By using mud loss modeling, interpretation of the FMI image log and the effect of these fractures was on the porosity and permeability of the reservoir. In this study, it has been determined that, fractures identified in wells very good matching with drilling mud loss maps with rock basement faults at the has anticline of the Asmari reservoir. Manuscript profile
      • Open Access Article

        50 - Legal Protections of Children Under 8 on Instagram
        Fatemeh  abdi
        Background and Aim: Children are one of the most vulnerable sections of the society and are exposed to all kinds of abuses due to the violation of their rights. Also, children's privacy in cyberspace is a very important issue. In this research, at first, the relationshi More
        Background and Aim: Children are one of the most vulnerable sections of the society and are exposed to all kinds of abuses due to the violation of their rights. Also, children's privacy in cyberspace is a very important issue. In this research, at first, the relationship between the publication of children's pictures on Instagram by parents and their privacy, and then the damage of publishing children's pictures on their personality, was discussed, and then the scope of legal protection of children's privacy on Instagram was examined. The purpose of this research is to address the necessity of legal protection of children's privacy in cyberspace in order to maintain their mental health in the future. Method: This research has been done using documents and library resources and descriptive-analytical method. Results: Cyberspace is a mixture of opportunities and threats. Today, a number of parents by violating some of their children's rights such as image rights, increase the number of followers on their Instagram page and thereby attract advertisements and generate income. Also, the findings indicate that there are significant legal gaps in the field of protecting children's privacy in cyberspace, which will cause serious damage to the various aspects of the children's personality in the future. Conclusion: Supporting children is necessary and unavoidable due to their unequal position when playing a role in cyber space. The advancement of technology and stepping into the digital age requires the establishment of protective laws and specific legal mechanisms. Manuscript profile
      • Open Access Article

        51 - -
        Fatemeh Rafiemanzelat gholamali koohmare
        -
        - Manuscript profile
      • Open Access Article

        52 - The Role of Social Responsibilities on Developing Brand Equity in Tourist Destinations: The case of Isfahan
        Mohammad ghaffari amirreza konjkav monfared
        This research investigated the effects of social responsibilities on brand equity in tourism destinations. This is an applied study and follows surveying in goal and method. The statistical population of this study included foreign tourists who traveled to Isfahan and v More
        This research investigated the effects of social responsibilities on brand equity in tourism destinations. This is an applied study and follows surveying in goal and method. The statistical population of this study included foreign tourists who traveled to Isfahan and visited Naqshe Jahan Square in summer 2017. Data-collection instrument was a researcher-developed questionnaire based on the literature and it included 40 closed questions. The validity and reliability of the questionnaire were examined and confirmed through content and construct validities, and Cronbach’s Alpha Coefficient. To analyze the data and to test the hypotheses, both SEM and path analysis were used in the SPSS and LISREL, respectively. The findings showed that social responsibilities in tourism destinations significantly affected brand through brand awareness; perceived value; perceived quality of tourism destination; the brand image of tourism destination; loyalty towards tourism destination. Manuscript profile
      • Open Access Article

        53 - The Effect of the Perceived Value of a Brand Image on Purchase Intention Case: Bojnord Candy Souvenir
          narges ahanchian zahra nori
        The perceived value of a brand is a basic concept for brand purchase and is considered as a valuable and necessary asset. Marketers need to identify the effective factors on brand purchase intention to promote their products and aim for improving the perceived value of More
        The perceived value of a brand is a basic concept for brand purchase and is considered as a valuable and necessary asset. Marketers need to identify the effective factors on brand purchase intention to promote their products and aim for improving the perceived value of the brand. This study tried to test the concept in tourism and test the effect of the perceived value of tourists on purchase intention (candy) and brand image. The statistical population was all the tourists who visited the city of Bojnord. Based on Krejcie and Morgan sampling table, 384 tourists were selected randomly. A localized questionnaire was used to collect data. Using structural equation modeling and LISREL, the study investigated the conceptual model and the research hypotheses. The results showed that the perceived value of tourists had a positive and significant effect on the brand image and purchase intention toward the candy. Tourists’ mental image had also a positive and significant effect on the purchase intention. The results showed that the tourism marketers could increase the tendency of tourists to purchase Bojnord candy by improving the index of the perceived value of the candy and by making efforts to brand these local souvenirs, which could lead to developing the tourism industry. Manuscript profile
      • Open Access Article

        54 - A Model for Investigating the Effect of Online Word-of-Mouth Communications on Travel Intention for Tourism Destination
        Mohammad ghaffari  
        Given the advancements in information and communication technologies, many tourists prefer to collect tourism destination information through electronic word-of-mouth communications. This paper aimed to present a model for investigating the effect of online word-of-mout More
        Given the advancements in information and communication technologies, many tourists prefer to collect tourism destination information through electronic word-of-mouth communications. This paper aimed to present a model for investigating the effect of online word-of-mouth communications on travel intention. The statistical population of this study included inbound tourists who traveled to Tehran in September 2016. A sample of 200 tourists was selected conveniently. To collect data, a researcher-developed questionnaire (including 24 questions) was used. The reliability and validity of the questionnaire were examined and confirmed. Findings showed that online word-of-mouth communications affected tourism destination image and that tourism destination image significantly affected both the trust in tourism destination and the intention to travel. The trust in tourism destination significantly affected the travel intention for the destination. Also, online word-of-mouth communications had significant effects on the trust in tourism destination and the travel intention directly and indirectly. Manuscript profile
      • Open Access Article

        55 - The Effect of Self and Social Congruity on Tourists’ Satisfaction, Experience and WOM in Kish
        Mohesn Akbari Sayed Hassan Ale Taha Mohammad Hataminejad
        Since tourism services cannot be evaluated before the visit, it is essential to note the word-of-mouth communication in attracting tourists. The sensitivity of the tourism industry and the significance of tourists’ behaviors urge decision-makers to pay more attention to More
        Since tourism services cannot be evaluated before the visit, it is essential to note the word-of-mouth communication in attracting tourists. The sensitivity of the tourism industry and the significance of tourists’ behaviors urge decision-makers to pay more attention to how social congruity with the brand image can create a positive image of a region. This paper studied the effect of self and ideal self-congruence on the experience and satisfaction of tourists in Kish. It also investigated the impact of tourists’ experience and satisfaction on their word-of-mouth communications. As a descriptive survey, the statistical population was the tourists in Kish, who visited the place during the summer and fall of 1397. With a sample size of 388 tourists, a questionnaire was used to collect the data. Both validity and reliability were confirmed. Structural equation modeling and partial least squares technique (Smart-PLS 2) were used to analyze the data. Findings showed that when the real and ideal self of tourists were congruent with the real and ideal image of the destination, it led to their satisfaction. Also, the experience and satisfaction of tourists would lead to word-of-mouth communications among tourists. Manuscript profile
      • Open Access Article

        56 - Exploring the Effects of Social Media Activities on Brand Resonance (Cognitive and Emotional) and loyalty of European Tourists Visiting Tehran
        Yazdan  Shirmohammadi زینب هاشمی باغی
        Social media activities could, together with other managerial and service factors, substantially contribute to the development of tourism by attracting tourists through promoting the attractions, providing them with useful information on historical places, customs, cult More
        Social media activities could, together with other managerial and service factors, substantially contribute to the development of tourism by attracting tourists through promoting the attractions, providing them with useful information on historical places, customs, cultural heritage, tourist attractions, and the historical and cultural potentials of the countries and regions they are supposed to visit. This descriptive survey study, therefore, sought to investigate the effect of social media advertisements, audience participation, and word-of-mouth advertising on European tourists’ brand resonance through the cognitive and emotional images as well as attitudinal and practical loyalties in social media. The population of the study comprised of the European tourists who visited Tehran from March to June 2019. The Cronbach’s alpha coefficient was used for the inferential analysis of the collected data, and KMO was applied to measure the internal consistency of the tool used. Moreover, Bartlett’s test was administered to confirm the sampling adequacy and the correctness of factors separation. The structural equation modeling method was also used for identifying the relationships among the variables. The results of the study indicated that social media advertisement, audience participation and brand awareness were effective on the cognitive image of the European tourists who visited Tehran, and that audience participation and word-of-mouth advertising affected their emotional image. It was also found that cognitive and emotional images would affect the attitudinal and practical loyalties which in turn would influence the brand resonance that could be helpful in attracting tourists provided that it is accompanied by well-defined plans in terms of creativity and innovation in advertising, knowing the audience, and choosing appropriate advertisements to be published in social media. Manuscript profile
      • Open Access Article

        57 - Investigating the Role of Iranian National Culture on Creating Images of Iran’s Tourist Destinations: A Case Study of Gilan Province
        mohamadreza taghizadeh joorshari Narges Delafrooz mamoud shabgu monsef saeed baghersalimi
        This study set out to investigate the effect of familiarity with a country’s culture on the images created in the minds of the foreign tourists visiting there, and the improvement of the public images made of smaller geographical units of that country such as its provic More
        This study set out to investigate the effect of familiarity with a country’s culture on the images created in the minds of the foreign tourists visiting there, and the improvement of the public images made of smaller geographical units of that country such as its provices as well. To this end, Gilan province was selected as the population of the study to research on. To collect the required data for testing the three hypotheses defined for this study, a 24-item questionnaire was administered on some 218 foreign tourists who visited different cities of Gilan province. The hypotheses and relationship between the research variables were analyzed through PLS software, using structural equation modeling techniques. The findings of the study suggested that familiarity with Iranian culture could improve Iran’s image and that of the Gilan province in the mind of a foreign tourist. Moreover, the impact of the Iran’s image on Gilan’s image was confirmed. Manuscript profile
      • Open Access Article

        58 - Tourism Policymaking, Local Community Support, Place Image, Tourism Impacts, Tourism in Semnan
        Zohre  Kiani FeizAbadi Farnaz NikKhah Elisa  taherian
        10.61186/journalitor.35991.11.24.219
        Tourism policies widely affect the lives of local residents. On the other hand, the effectiveness of such policies depends on the local community’s support and participation. Therefore, the present study sought to investigate the influence of the Local Community’s Place More
        Tourism policies widely affect the lives of local residents. On the other hand, the effectiveness of such policies depends on the local community’s support and participation. Therefore, the present study sought to investigate the influence of the Local Community’s Place Image and their perception of tourism impacts on their support for tourism policies in Semnan. To this end, some 340 questionnaires were distributed among local residents, out of which 322 questionnaires were completed by the respondents. The collected data were then analyzed by PLS software using Structural Equation Modeling (SEM). The results indicated that the residents’ place image had a direct significant effect on their perception of tourism impacts and consequently on their support for tourism development policies. Moreover, the findings highlighted the necessity of evaluating tourism impacts based on the perceptions of residents, because the more favorable they consider the tourism impacts, the more support they give to tourism development policies. Finally, this study suggests some policy recommendations on how to manage the local community’s place image, their perceptions of tourism impacts, and their support for tourism policy-making. Manuscript profile
      • Open Access Article

        59 - An study on the sounds role at the illustration of artistic imagery of the resurrection scenes in the Holy Quran
        مجید  صمدی
        Acoustic features of each language form the nature of the human languages. According to the linguists’ theories, sounds are the most important ingredients of language that man, according to them, use to organize his own mind’s concepts. So they consider phonetic topi More
        Acoustic features of each language form the nature of the human languages. According to the linguists’ theories, sounds are the most important ingredients of language that man, according to them, use to organize his own mind’s concepts. So they consider phonetic topics as the first step in it’s explanation. There is no doubt that the Quran, the great miracle of the prophet, of the phonetic perspective, words and syntax aspect is unique. And even it’s smallest acoustic unit has a great semantic value and the most important methodological peculiarity of the Quran is that sounds are according to meanings and appropriate to verses. As a result There are many verses in the Holy Quran such as: resurrection incidents, and the respective scenes, that describe the status and features of the people. In the image processing, sounds and noises arose from the arrangement and composition of the sounds play a considerable role in displaying the meanings. For example, when it spokes about earthquakes of the resurrection and it’s crushed mountains, The Quran used mostly the characters such as “Q” and “K” to show horrific images by sounds. Manuscript profile
      • Open Access Article

        60 - An study on the sounds role at the illustration of artistic imagery of the resurrection scenes in the Holy Quran
        مجید  صمدی
        Acoustic features of each language form the nature of the human languages. According to the linguists’ theories, sounds are the most important ingredients of language that man, according to them, use to organize his own mind’s concepts. So they consider phonetic topi More
        Acoustic features of each language form the nature of the human languages. According to the linguists’ theories, sounds are the most important ingredients of language that man, according to them, use to organize his own mind’s concepts. So they consider phonetic topics as the first step in it’s explanation. There is no doubt that the Quran, the great miracle of the prophet, of the phonetic perspective, words and syntax aspect is unique. And even it’s smallest acoustic unit has a great semantic value and the most important methodological peculiarity of the Quran is that sounds are according to meanings and appropriate to verses. As a result There are many verses in the Holy Quran such as: resurrection incidents, and the respective scenes, that describe the status and features of the people. In the image processing, sounds and noises arose from the arrangement and composition of the sounds play a considerable role in displaying the meanings. For example, when it spokes about earthquakes of the resurrection and it’s crushed mountains, The Quran used mostly the characters such as “Q” and “K” to show horrific images by sounds. Manuscript profile
      • Open Access Article

        61 - Place, Time, Dreaming, and Character in Surah Yusuf
        مرتضی  زارع برمی
        Abstract Story is a useful means to convey human aspirations, experiences, thoughts, rites, traditions and values. The Quran uses stories when it intends to fix a truth in the reader’s mind or remove a falsehood from his mind. But this by no means prevents artistic More
        Abstract Story is a useful means to convey human aspirations, experiences, thoughts, rites, traditions and values. The Quran uses stories when it intends to fix a truth in the reader’s mind or remove a falsehood from his mind. But this by no means prevents artistic features of storytelling from appearing in Quran’s stories. In the Quran’s stories, conveying religious ideas and using an artistic style are both considered important. This paper, paying attention to the concepts and fundamental principles emphasized today in storytelling and drama, tries to identify and categorize the images and features in Surah Yusuf related to place, time, dreaming and character as much as possible. The method used is description-analytical based on the images taken from the text of the Surah. According to the findings of the research, some of the main artistic-literary features of Surah Yusuf include: presenting a clear and precise picture of the society, place, and time of the story, creativity in creating and developing the characters and human natures, presenting different portrays of a character, dialogue, describing incidents, complication, crisis making, denouement, and creating expectations. These features act in coordination as the story unfolds and help to realize its objectives. The results of the research also showed that there are common points in the contemporary story- writing principles and the story-telling in the Quran in terms of narration, style, structure and use of artistic and literary nuances and techniques. Manuscript profile
      • Open Access Article

        62 - بررسی حرکت و پویایی در شعر صائب تبریزی
        بهزاد  مریدی سمیه  رضایی علی  مظاهری رودبالی
        Manuscript profile
      • Open Access Article

        63 - بررسی چگونگی تأثیر روش منطق تصویری و فعالیت مباحثه‌ای در آموزش واژه‌ به غیرفارسی‌زبانان
        shahnaz Ahmadi-ghader Shima Eslami-fakhr
        Manuscript profile
      • Open Access Article

        64 - Comparison of Faster RCNN and RetinaNet for Car Recognition in Adverse Weather
        Yaser Jamshidi Raziyeh Sadat Okhovat
        Vehicle detection and tracking plays an important role in self-driving cars and smart transportation systems. Adverse weather conditions, such as the heavy snow, fog, rain, dust, create dangerous limitations by reducing camera visibility and affect the performance of de More
        Vehicle detection and tracking plays an important role in self-driving cars and smart transportation systems. Adverse weather conditions, such as the heavy snow, fog, rain, dust, create dangerous limitations by reducing camera visibility and affect the performance of detection algorithms used in traffic management systems and autonomous cars. In this article, Faster RCNN deep object recognition network with ResNet50 core and RetinaNet network is used and the accuracy of these two networks for vehicle recognition in adverse weather is investigated. The used dataset is the DAWN file, which contains real-world images collected with different types of adverse weather conditions. The obtained results show that the presented method has increased the detection accuracy from 0.2% to 75% in the best case, and the highest increase in accuracy is related to rainy conditions. Manuscript profile
      • Open Access Article

        65 - Data-Driven Sliding Mode Control Based on Projection Recurrent Neural Network for HIV Infection: A Singular Value Approach
        Ashkan  Zarghami mehdi  Siahi Fereidoun Nowshiravan Rahatabad
        In the present study, drug treatment of HIV infection is investigated using a Data-Driven Sliding Mode Control (DDSMC) combined with a Projection Recurrent Neural Network (PRNN). The major objective is to establish the control law that eliminates the need for HIV infect More
        In the present study, drug treatment of HIV infection is investigated using a Data-Driven Sliding Mode Control (DDSMC) combined with a Projection Recurrent Neural Network (PRNN). The major objective is to establish the control law that eliminates the need for HIV infection mathematical formulae and ensures that the physical limits of the actuator are reached. This is accomplished by creating the concepts of model-free adaptive control, in which the relation between input and output is described using local dynamic linearized models based on quasi-partial derivatives. To determine the DDSMC law, a performance index is first defined based on the fulfillment of a discrete-time exponential reaching condition. By turning this index into a quadratic programming problem, the dynamics of the PRNN are extracted based on projection theory. The closed-loop system is explicitly determined using the optimizer output equation and the closed-loop stability analysis is evaluated using the singular value approach. The simulation results reveal that the proposed algorithm has robust performance in conducting the state variables of HIV infection to the healthy equilibrium point in the face of model uncertainty and external disturbances when compared to one of the newest control techniques. Manuscript profile
      • Open Access Article

        66 - Estimation of grain size curve of surface coarse sediments using imaging system designed
        A.H. Tabee A. Karami – Khaniki A.A. Bidokhti K. Lari
        Sediment recognition is one of the basic topics in coastal and river engineering. One of the parameters of sediment identification is their grain size. To determine the grain size, traditional methods such as sieving the sediments are usually used, which is accurate More
        Sediment recognition is one of the basic topics in coastal and river engineering. One of the parameters of sediment identification is their grain size. To determine the grain size, traditional methods such as sieving the sediments are usually used, which is accurate but time consuming. Image processing provides the ability to isolate and track targets (sediment grains) in images using the smallest unit of a digital image (pixel). In this paper, a one-piece system for imaging coarse-grained field sediments and presenting a granulation curve is constructed and tested, in which sediment processing and analysis is performed with ImageJ software and the results are compared by sieving method and was validated. Image samples were taken from laboratory and natural sand and sand sediments. The results show that the distribution obtained from the images of coarse (larger than one millimeter) and uniform surface sediments has a good correlation with the distribution obtained from the sieve analysis and reduces the time to at least one tenth and the total cost. Manuscript profile
      • Open Access Article

        67 - The Mediating Role of Self-compassion in the Relationship Between Self-concept and Body Image and Social Anxiety in Female Students of Isfahan University of Technology
        Behnoush Harouni hassan khoshakhlagh
        Social anxiety disorder refers to an overt and persistent fear of social or functional situations. Self-concept can play a significant role in explaining social anxiety. This study aimed to determine the mediating role of self-compassion in the relationship between self More
        Social anxiety disorder refers to an overt and persistent fear of social or functional situations. Self-concept can play a significant role in explaining social anxiety. This study aimed to determine the mediating role of self-compassion in the relationship between self-concept and social anxiety of female students of the Isfahan University of Technology. The present study indicated a correlation scheme and the method of structural equations was used based on the partial least squares approach. A sample of 300 female students from the Isfahan University of Technology was selected by voluntary sampling method. The Nef Self-Compassion Scale, Beck, et al.'s (1990) Self-Esteem Scale, and Connor et al.'s (2000) Social Anxiety Inventory were used to collect data. The collected data were analyzed using SPSS software version 25 and AMOS version 22. The results showed that compassion reduces social anxiety by 22.3% of the path between self-concept and social anxiety. In addition, self-compassion has a minor mediating role in the relationship between self-concept and social anxiety (p <0.05). Self-compassion has a minor mediating role in the social anxiety of female students (p <0.05). Self-concept has a negative effect on students' social anxiety (p <0.05). Finally, the importance of self-concept in explaining social anxiety and self-compassion has a mediating role between self-concept and social anxiety. Manuscript profile
      • Open Access Article

        68 - A comparative study of the concept of home among children of two cities (Shiraz and Noujin)
        Fahimeh Abbasi Tahereh Nasr Keivan Mohamadpur
        <p>Abstract The concept of &ldquo;home&rdquo; transcends its physical existence, manifesting as an intellectual image. In essence, a house is a place to live and reach peace and comfort. The term &ldquo;house&rdquo; encompasses two distinct aspects of meaning and concep More
        <p>Abstract The concept of &ldquo;home&rdquo; transcends its physical existence, manifesting as an intellectual image. In essence, a house is a place to live and reach peace and comfort. The term &ldquo;house&rdquo; encompasses two distinct aspects of meaning and concept, which are different from each other. The aspect of the house meaning is an objective reality of a place where a person resides, but the concept of the house is a mental perception. Understanding the concept of home necessitates a thorough analysis of each individual's mindset regarding their living space. The purpose of this research is a comparative assessment of the home concept among 9-10-year-old children residing in Shiraz and Nojin cities. The research methodology involves content analysis utilizing argumentative analogies along with information gathering through library and documentary studies, Persian and Latin articles, and field research. By analyzing and examining thirty samples of children's drawings from these cities, it is possible to identify the similarities and differences in their mental images of the home concept. Result of this examination and analysis is anticipated several conceptual codes can be obtained. From the summation of these conceptual codes, the home concept among the children of these cities can be found, encompassing themes such as peace, comfort, comfort, security, and prosperity.</p> Manuscript profile
      • Open Access Article

        69 - Exploring Architectural Ornamentation: A Focus on Tile Decorations in Painting Schools
        Negar Hassani Fakhrabadi Mohammad Hossein Hassani Fakhrabadi
        <p>Visual documents, including paintings, are among the most important sources in researching the history of Iranian architecture. However, the capacities and special importance of these paintings have not been sufficiently emphasized and utilized in architectural resea More
        <p>Visual documents, including paintings, are among the most important sources in researching the history of Iranian architecture. However, the capacities and special importance of these paintings have not been sufficiently emphasized and utilized in architectural research. Therefore, there is a need for a deeper examination and analysis of these paintings and their effects on architecture. The Herat School stands as one of the significant schools in the history of Iranian architecture. This school is capable of realistically representing the architectural spaces of the Timurid period, which is particularly important because the architecture of this period exhibits realistic and reflective features of Islamic architectural elements. In this article, the level of realism of the tile decorations in Behzad's paintings has been investigated and analyzed. The current research method is non-experimental and based on an interpretive-historical approach. In fact, by prioritizing the logic of "the possibility of extracting documents in the field" and "the extraction of images used in the documents" as inferential and indicative conditions in the logic of research evidence, random sampling has been utilized. The research structure, relying on Behzad's images and architectural concepts depicted in his paintings, begins with an introduction from this artist and then proceeds to analyze the influential real buildings in those works.</p> Manuscript profile
      • Open Access Article

        70 - Comparison of the features of romanticism in Nima and Forough Farrokhzad poetry
        Manijheh  Hamrah BEHROZ ROMIANI mostafa salari
        <p>The main issue of this paper is the comparison of the image in the poems of Nima and Forough Farrokhzad from the perspective of the romantic image. The romantic image of the epistemological and aesthetic nature is fundamentally different from the classical, symbolic, More
        <p>The main issue of this paper is the comparison of the image in the poems of Nima and Forough Farrokhzad from the perspective of the romantic image. The romantic image of the epistemological and aesthetic nature is fundamentally different from the classical, symbolic, and surrealistic. The author has tried to explain the nature of the romantic image in three parts: in the first part, explains the special features of romantic imagery with the discussion of four characteristics: transformation in nature, shadow of the image, dynamics, and individuality in the image. In the second section, the relationship between the images and the position of the image in the context of the poem is examined by two characteristics of continuity and maturity. The paper is based on a descriptive-analytical method based on a library method.</p> Manuscript profile

Rimag

Rimag is an integrated platform to accomplish all scientific journal requirements such as submission, evaluation, reviewing, editing, DOI assignment and publishing in the web.

Links

Related Centers

Technical Support

Official pages

The rights to this website are owned by the Raimag Press Management System.
Copyright © 2017-2024

Home| Login| About Rimag| Contact Us|
[فارسی] [العربية] [fa] [ar]