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Search Results: 1 - 10 of 3596 matches for " Hamid Amiri "
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Image Classification using Statistical Learning Methods  [PDF]
Jassem Mtimet, Hamid Amiri
Journal of Software Engineering and Applications (JSEA) , 2012, DOI: 10.4236/jsea.2012.512B038
Abstract: In general, digital images can be classified into photographs, textual and mixed documents. This taxonomy is very useful in many applications, such as archiving task. However, there are no effective methods to perform this classification automatically. In this paper, we present a method for classifying and archiving document into the following semantic classes: photographs, textual and mixed documents. Our method is based on combining low-level image features, such as mean, Standard deviation, Skewness. Both the Decision Tree and Neuronal Network Classifiers are used for classification task.
About Multichannel Speech Signal Extraction and Separation Techniques  [PDF]
Adel Hidri, Souad Meddeb, Hamid Amiri
Journal of Signal and Information Processing (JSIP) , 2012, DOI: 10.4236/jsip.2012.32032
Abstract: The extraction of a desired speech signal from a noisy environment has become a challenging issue. In the recent years, the scientific community has particularly focused on multichannel techniques which are dealt with in this review. In fact, this study tries to classify these multichannel techniques into three main ones: Beamforming, Independent Component Analysis (ICA) and Time Frequency (T-F) masking. This paper also highlights their advantages and drawbacks. However these previously mentioned techniques could not afford satisfactory results. This fact leads to the idea that a combination of those techniques, which is depicted along this study, may probably provide more efficient results. Indeed, giving the fact that those approaches are still be considered as being not totally efficient, has led us to review these mentioned above in the hope that further researches will provide this domain with suitable innovations.
Textile Dye Removal Using Photocatalytic Cascade Disk Reactor Coated by ZnO Nanoparticles  [PDF]
Hamid Amiri, Bita Ayati, Hossein Ganjidoust
Journal of Materials Science and Chemical Engineering (MSCE) , 2016, DOI: 10.4236/msce.2016.412004
Abstract:
Dye effluents with low BOD/COD ratio and varied chemical structures are usually very recalcitrant to microbial degradation. Therefore, different process was used for the treatment of dye effluent. Heterogeneous photocatalyst process has been widely used as leading green technology for dye removal. The process utilizes a semiconductor photocatalyst (such as TiO2 or ZnO) and UV light to oxidize the recalcitrant organic compounds to inorganic ions, carbon dioxide and water. Photocatalytic process needs to photorectors and hydraulic parameters play an important role in mass transfer phenomenon in photocatalytic reactors. These fundamental parameters are flow rate, relative roughness and Reynolds number. This research experimentally evaluates flow rate and artificial relative roughness in order to determine the factors influencing the removal efficiency and reaction rate. For this purpose, a cascade photocatalytic reactor is constructed which consists of similar Plexiglas plates coated by various roughness. Numerical simulation usually overcomes complex reactor models which takes reasonable cost respect to experimental study. Here, OpenFOAM software is also utilized to perform a numerical study. Regime and velocity of sewage are simulated in photocatalytic flow with/without considering relative roughness.
Speckle Noise Reduction in Medical Ultrasound Images
Faouzi Benzarti,Hamid Amiri
International Journal of Computer Science Issues , 2012,
Abstract: Ultrasound imaging is an incontestable vital tool for diagnosis, it provides in non-invasive manner the internal structure of the body to detect eventually diseases or abnormalities tissues. Unfortunately, the presence of speckle noise in these images affects edges and fine details which limit the contrast resolution and make diagnostic more difficult. In this paper, we propose a denoising approach which combines logarithmic transformation and a non linear diffusion tensor. Since speckle noise is multiplicative and nonwhite process, the logarithmic transformation is a reasonable choice to convert signal-dependent or pure multiplicative noise to an additive one. The key idea from using diffusion tensor is to adapt the flow diffusion towards the local orientation by applying anisotropic diffusion along the coherent structure direction of interesting features in the image. To illustrate the effective performance of our algorithm, we present some experimental results on synthetically and real echographic images.
Repairing and Inpainting Damaged Images using Diffusion Tensor
Faouzi Benzarti,Hamid Amiri
International Journal of Computer Science Issues , 2012,
Abstract: Removing or repairing the imperfections of a digital images or videos is a very active and attractive field of research belonging to the image inpainting technique. This later has a wide range of applications, such as removing scratches in old photographic image, removing text and logos or creating cartoon and artistic effects. In this paper, we propose an efficient method to repair a damaged image based on a non linear diffusion tensor. The idea is to track perfectly the local geometry of the damaged image and allowing diffusion only in the isophotes curves direction. To illustrate the effective performance of our method, we present some experimental results on test and real photographic color images.
Repairing and Inpainting Damaged Images using Diffusion Tensor
Faouzi Benzarti,Hamid Amiri
Computer Science , 2013,
Abstract: Removing or repairing the imperfections of a digital images or videos is a very active and attractive field of research belonging to the image inpainting technique. This later has a wide range of applications, such as removing scratches in old photographic image, removing text and logos or creating cartoon and artistic effects. In this paper, we propose an efficient method to repair a damaged image based on a non linear diffusion tensor. The idea is to track perfectly the local geometry of the damaged image and allowing diffusion only in the isophotes curves direction. To illustrate the effective performance of our method, we present some experimental results on test and real photographic color images
Speckle Noise Reduction in Medical Ultrasound Images
Faouzi Benzarti,Hamid Amiri
Computer Science , 2013,
Abstract: Ultrasound imaging is an incontestable vital tool for diagnosis, it provides in non-invasive manner the internal structure of the body to detect eventually diseases or abnormalities tissues. Unfortunately, the presence of speckle noise in these images affects edges and fine details which limit the contrast resolution and make diagnostic more difficult. In this paper, we propose a denoising approach which combines logarithmic transformation and a non linear diffusion tensor. Since speckle noise is multiplicative and nonwhite process, the logarithmic transformation is a reasonable choice to convert signaldependent or pure multiplicative noise to an additive one. The key idea from using diffusion tensor is to adapt the flow diffusion towards the local orientation by applying anisotropic diffusion along the coherent structure direction of interesting features in the image. To illustrate the effective performance of our algorithm, we present some experimental results on synthetically and real echographic images.
Seroimmunity to Tetanus and Diphtheria among Immunocompetent Adult Patients Admitted to a Tertiary Hospital for Any Reason  [PDF]
Hamid Reza Naderi, Fereshte Sheybani, Bezat Amiri, Mehdi Jabbari Nooghabi
World Journal of Vaccines (WJV) , 2018, DOI: 10.4236/wjv.2018.81003
Abstract: Ignoring the importance of receiving booster doses of vaccines in vast majority of adults could result in their lack of immunity against tetanus and diphtheria. In this prospective cohort study all immunocompetent adults ≥ 40 years old who were admitted for any reason during the time period of the survey were enrolled and antibody levels against tetanus and diphtheria were measured. 84 patients (48%) were 40 - 60 years old and 93 (52%) subjects aged older than 60 years. In general, anti-tetanus antibody titer was <0.1 IU/mL (non-immune range) in 83 people (46.9%). For anti-diphtheria antibody, 74 (41.8%) were considered non-immune. Of all people whose tetanus antibody level was <0.1, 19 had a complete history of childhood diphtheria and tetanus immunization and 64 had unknown vaccination history. Among people with diphtheria antibody levels < 0.1, 18 (24.3%) had complete history of childhood vaccination and 56 (75.6%) had unknown history.
Iran Accession to WTO and Its Effects on Food Industries
Seyed Fathollah Amiri Aghdaie,Hamid Davari
International Journal of Marketing Studies , 2010, DOI: 10.5539/ijms.v2n2p160
Abstract: The goal of this paper is to investigate Iran accession to WTO and its effects on food industries, the mentioned goal will be accomplished by variable factors such as custom structure reform and improvement, increasing competitive abilities, increasing products quality, developing foreign markets and creating Job opportunities as research hypothesis. The type of article is descriptive-cognitive and the related information for this scope has been collected by using library resources such as books, scientific journals and moreover for collecting necessary data in order to accept or reject the research hypotheses a questionnaire made by researcher has been used. The statistical society of research includes a group of food industry experts in Isfahan province and the method being used has been random sampling. Results of this research show that Iran accession to WTO has great influence in above mentioned variables of food industries.
Identification of arabic word from bilingual text using character features
Sofiene Haboubi,Samia Maddouri,Hamid Amiri
Computer Science , 2011,
Abstract: The identification of the language of the script is an important stage in the process of recognition of the writing. There are several works in this research area, which treat various languages. Most of the used methods are global or statistical. In this present paper, we study the possibility of using the features of scripts to identify the language. The identification of the language of the script by characteristics returns the identification in the case of multilingual documents less difficult. We present by this work, a study on the possibility of using the structural features to identify the Arabic language from an Arabic / Latin text.
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