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    Synthesis and Evaluation of Carbon based Catalyst for HDS Process of Refinery Products

    , Ph.D. Dissertation Sharif University of Technology Hajjar, Zeinab (Author) ; Kazemini, Mohammad (Supervisor) ; Rashidi, Alimorad (Supervisor) ; Bazmi, Mansour (Co-Advisor)
    Abstract
    One of the most important world issues is environmental constraints regarding the pollutants released by transportation fuels and refinery products, sulfur reduction being one of the most significant objectives. Deep hydrodesulfurization processes result in great sulfur reduction in refinery streams. However, such harsh process conditions increase undesired side reactions and facilitate coke formation as well as affecting the surfaces. More effective alternatives for hard process conditions are highly active and selective hydrodesulfurization catalysts, which enable the process to be performed at milder pressure and reaction conditions. Catalyst bases play a very important role in hydrogen... 

    Oxidative Desulfurization of Gas Condensate

    , M.Sc. Thesis Sharif University of Technology Keshavarzi, Samaneh (Author) ; Seifkordi, Ali Akbar (Supervisor) ; Bazmi, Mansour (Co-Advisor) ; Ghaedian, Maryam (Co-Advisor)
    Abstract
    Due to increasing environmental concern, special interest has been paid to reduction of organosulfur compounds in transportaion fuels. The sulfur- containing compounds are converted into sulfur oxide, i.e, SOx , during combustion, which is a major source of acid rain and air pollution.Gas condensate is a mixture consisting primarily of pentanes and heavier hydrocarbons which is recovered as a liquid from natural gas. It is a proper hydrocarbon source for producing gasoline, kerosene and gas oil in refineries. In this reseach a gas condensate was used as feedstock for studing oxidative desulfurization (ODS). The influence of various parameters of desulforization including the reaction... 

    In situ and simultaneous synthesis of a novel graphene-based catalyst for deep hydrodesulfurization of naphtha

    , Article Catalysis Letters ; Volume 145, Issue 9 , September , 2015 , Pages 1660-1672 ; 1011372X (ISSN) Hajjar, Z ; Kazemeini, M ; Rashidi, A ; Bazmi, M ; Sharif University of Technology
    Kluwer Academic Publishers  2015
    Abstract
    In this research, a novel graphene-supported catalyst was prepared through which, a simultaneous chemical exfoliation of graphite and MoS2 powder performed preparing a new composite species and evaluated for the hydrodesulfurization reaction of naphtha and no sulfidation pretreatment was performed upon the catalyst. Also, the influences of the operating parameters such as temperature, and liquid hourly space velocity on HDS conversion evaluated. (Chemical Equation Presented)  

    Graphene based catalysts for deep hydrodesulfurization of naphtha and diesel fuels: A physiochemical study

    , Article Fuel ; Volume 165 , 2016 , Pages 468-476 ; 00162361 (ISSN) Hajjar, Z ; Kazemeini, M ; Rashidi, A ; Bazmi, M ; Sharif University of Technology
    Elsevier Ltd  2016
    Abstract
    In this study, graphene materials have been synthesized with solid camphor (C10H16O) and methane gas as carbon precursors using atmospheric pressure chemical vapor deposition (CVD) technique at a temperature range of 900-1000 °C for a period of 45 min over copper nanoparticles. Influence of the carbon precursors upon the shape, number of layers and yield of the synthesized graphene samples has been investigated. In this venue, the compounds synthesized were functionalized with oxygen groups and impregnated by cobalt and molybdenum active phases. Moreover, the total metal loading and Co/Mo weight ratio of prepared compounds were adjusted to their industrial nominal values of 10% and 0.33,... 

    Nitrogen-doped carbon nanotubes for heat transfer applications: Enhancement of conduction and convection properties of water/N-CNT nanofluid

    , Article Journal of Thermal Analysis and Calorimetry ; Volume 138, Issue 1 , 2019 , Pages 69-79 ; 13886150 (ISSN) Bazmi, M ; Askari, S ; Ghasemy, E ; Rashidi, A ; Ettefaghi, E ; Sharif University of Technology
    Springer Netherlands  2019
    Abstract
    In this research, it is aimed to enhance the heat transfer properties of the carbon nanotubes through nitrogen doping. To this end, nitrogen-doped multiwall carbon nanotubes (N-CNTs) were synthesized via chemical vapor deposition method. For supplying carbon and nitrogen during the synthesis of N-CNTs, camphor and urea were used, respectively, at 1000 °C over Co–Mo/MgO nanocatalyst in a hydrogen atmosphere. N-CNTs with three different nitrogen loadings of 0.56, 0.98, and 1.38 mass% were synthesized, after which, water/N-CNT nanofluids of these three samples with concentrations of 0.1, 0.2, and 0.5 mass% were prepared. To obtain a stable nanofluid, N-CNTs were functionalized by nitric acid... 

    Correction to: Nitrogen-doped carbon nanotubes for heat transfer applications: Enhancement of conduction and convection properties of water/N-CNT nanofluid (Journal of Thermal Analysis and Calorimetry, (2019), 138, 1, (69-79), 10.1007/s10973-019-08024-y)

    , Article Journal of Thermal Analysis and Calorimetry ; Volume 142, Issue 6 , 2020 , Pages 2393- Bazmi, M ; Askari, S ; Ghasemy, E ; Rashidi, A ; Ettefaghi, E ; Sharif University of Technology
    Springer Science and Business Media B.V  2020
    Abstract
    In the original publication of the article, the first author’s affiliation was incorrectly published. © 2020, Akadémiai Kiadó, Budapest, Hungary  

    Setar Production Modification With Vibration Analysis

    , M.Sc. Thesis Sharif University of Technology Mansour, Hossein (Author) ; Behzad, Mehdi (Supervisor)
    Abstract
    Setar is a traditional Persian musical instrument. Nowadays, Setar is one of the most common musical instruments in Persian music. A systematic method for Setar production modification has not been introduced yet. This work is the first scientific work about analysis of this instrument. The aim of this study is to undertake early steps for Setar quality improvement. In this thesis, after analysis of the wood using in Setar construction, numerical and experimental methods have been utilized to analyze this instrument. After that, some works has been performed to extract an objective function which can judge about Setar quality. The results show good agreement between experimental and... 

    Human Activity Recognition with Spatio Temporal Features in RGB-D Videos

    , M.Sc. Thesis Sharif University of Technology Ebtehaj, Ali (Author) ; Jamzad, Mansour (Supervisor)
    Abstract
    Human activity recognition is an important and useful area in computer vision that application include surveillance systems, patient monitoring systems, human-computer interaction and analyse video data from big websites.Traditional Human action recognition use the RGB videos as default input that unable describe motion and action as full. On the other hand Kinect camera sendsthe RGB data to output in addition to the Depth Data that allows us to extract skeleton of human easily. Recently Space-time features have been particulary popular in RGB Videos because of their structure. These features are describedby their descriptor and send the good and important information to output.Finally we... 

    Automatic Image Annotation Using Deep Learning

    , M.Sc. Thesis Sharif University of Technology Bahramipoor, Misagh (Author) ; Jamzad, Mansour (Supervisor)
    Abstract
    With the advances in technology, Nowadays digital cameras are everywhere. As a result very large amount of images are on the web. Searching through these images intelligently and purposively is an essential need. Recently the possibility of retrieving images with some conceptual words along side of content based image retrieval has been studied in computer vision. For this purpose it’s required that for each image several words that describe its content be assigned automatically. One of the main problems for this task is semantic gap, meaning that the low level features such as color, texture,… don’t have the ability to describe the high level concepts in images which are comprehensible by... 

    An experimental study to find the acoustic quality indicators of mulberry wood

    , Article ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE), 12 November 2010 through 18 November 2010, Vancouver, BC ; Volume 13 , 2010 , Pages 43-47 ; 9780791844502 (ISBN) Mansour, H ; Behzad, M ; Sharif University of Technology
    2010
    Abstract
    Morus Alba or mulberry is a wood species that is broadly used in making musical instruments in Eastern countries. However, the mechanical and acoustical properties of this type of wood are not investigated properly. In this study a set of features, previously examined for other species, are applied to this wood and its acoustic quality is evaluated. Setar, a Persian musical instrument made of mulberry wood, is selected as the test case of this experiment. Different samples of wood are gathered and categorized based on their appropriateness for Setar construction. The quality of each sample is identified based on the Perceptual knowledge of professional Setar makers. The most effective... 

    Automatic Skin Cancer (Melanoma) Detection Using Visual Features

    , M.Sc. Thesis Sharif University of Technology Moazen, Hadi (Author) ; Jamzad, Mansour (Supervisor)
    Abstract
    Melanoma is a malignant skin cancer which is caused by cancerous growth of melanocytes. If not treated at its early development stages, melanoma is the deadliest form of cancer. The best way to cure melanoma is to treat it in its earliest stage of development. Since a melanoma leasion is similar to benign moles (regaring its shape and appearance) at its early stages of development, it is often mistaken for moles and left untreated. Therefore, automatic melanoma detection can increase the survival rate of patients by detecting melanoma in its early stages. In this thesis, a new method for automatic diagnosis of melanoma using segmented dermoscopic images is provided. Almost all related... 

    Improving Watermarking Robustness Against Print and Scan Attack

    , M.Sc. Thesis Sharif University of Technology Amiri, Hamid (Author) ; Jamzad, Mansour (Supervisor)
    Abstract
    The advent of digital age with the Internet revolution has made it extremely convenient for users to access, create, process, copy, or exchange multimedia data. This has created an urgent need for protecting intellectual property in both the digital and the print media. Digital watermarking is a suitable way to do this. In this technology, some hidden information called watermark are embedded into host signal and extracted to confirm copyright protection. However, the watermark should be embedded in the host in such a way that the attacks could not destroy it. Print and scan is a popular attack that is applied on digital images. This attack has complex nature and can be implemented easily.... 

    Improving the Embedding Capacity of Steganography Methods

    , Ph.D. Dissertation Sharif University of Technology Sajedi, Hedieh (Author) ; Jamzad, Mansour (Supervisor)
    Abstract
    Providing security for digital information in a communication channel is a challenge in the recent years. This is due to the strength of high-speed processing resources that can threaten the security and correctness of communicating information. Using steganography method, the secret information can be hidden in an innocent media that does not attract the attention of third parties. This research discusses about steganography in images. The main goal of this research is presenting a universal steganography scheme with high steganography capacity. Using this scheme the steganographer can embed every large secret data in images securely. The reasons for selecting the subject of “Improving... 

    Tamper Detection in Digital Images Using Transform Domains

    , M.Sc. Thesis Sharif University of Technology Barzegar, Zeynab (Author) ; Jamzad, Mansour (Supervisor)
    Abstract
    Nowadays, digital images are easy to manipulate and edit due to availability of powerful image processing and editing software. It is possible to add or remove important features to the image without leaving any obvious traces of tampering. Therefore, proving the authenticity and integrity of digital media becomes increasingly important. In this study, we focus on detection of a special type of digital forgery, the copy-move attack, in which a part of the image is copied and pasted somewhere else in the image with the intent to cover an important image features or to add some fake feature. In this way we propose some novel methods that work in spatial domain, Discrete Cosine domain and... 

    Improving the Robustness of Image Watermarking for Publicly Copyright-Proving

    , M.Sc. Thesis Sharif University of Technology Shakeri, Mahsa (Author) ; Jamzad, Mansour (Supervisor)
    Abstract
    The advent of Internet and advancement of computer technologies have enabled convenient and fast exchange of multimedia so the illegal reproduction and modification of digital media has become increasingly serious. Hence, how to protect the intellectual property rights of digital multimedia is an imperative issue. Digital watermarking is one of the solutions to prevent unauthorized use of images. Traditional digital watermarking techniques embed a watermark such as logo, trademark, or copyright information into a host image so that it is not perceptible. These techniques, depending on the amount of embedded data, will distort the content of host image which results in quality degradation of... 

    A Hybrid Method for Improving the Color Constancy in Images

    , M.Sc. Thesis Sharif University of Technology Abedini, Zeinab (Author) ; Jamzad, Mansour (Supervisor)
    Abstract
    The ability of measuring colors of objects, independent of light source illumination, is called color constancy which is an important field in machine vision and image processing. In this thesis, we propose five new combinantional ways in color constansy fields. The first two proposed methods use neural networks to combining basic methods. The third and forth proposed methods use fuzzy measures and integrals for combining color constancy methods. And finally fifth method combines methods with indoor outdoor classification this method has the best result (3.01 median angular error) in proposed methods and past methods in color constancy fields. It is shown in this article that the proposed... 

    A Fast Algorithm for Shadow Generation with Low Distortion Based on Shadow Map Technique

    , M.Sc. Thesis Sharif University of Technology Zare, Ehsan (Author) ; Jamzad, Mansour (Supervisor)
    Abstract
    Shadows are one of the most important details in graphical images. There exist many shadow generation algorithms each of which suffers from some problems. High processing time and ill-shaped shadow borders, known as alasing, are some of such problems. In this paper, we propose a heuristic method based on standard shadow map technique, named rotated shadow maps, to generate excellent hard shadows. Our method uses some shadow maps which are generated from the same view but objects are slightly rotated around the center of view area. Rotated shadow maps can be considered as an independent hard shadow generation algorithm. Also it can be combined with other shadow map based approaches. Utilizing... 

    Indoor Office Environment Mapping Using a Mobile Robot with Kinect Sensor

    , M.Sc. Thesis Sharif University of Technology Sartipi, Kourosh (Author) ; Jamzad, Mansour (Supervisor)
    Abstract
    In recent years with advancement of Robotics, the applications of wide scale use of robots in our homes is not as far-fetched as it was before. One of the important problems for an indoor robot is moving inside a new and unknown environment. To achieve this, the robot should, with the help of its sensors, not only calculate its location; but should also build a map of the environment for later use. Additionally, the robot must be able to explore this unknown environment. The most important drawbacks of the classical solutions to these problems are long computation times, heavy memory usage and absence of precision. In recent years, large amount of research effort has put on solving these... 

    Image Annotation Using Semi-supervised Learning

    , Ph.D. Dissertation Sharif University of Technology Amiri, Hamid (Author) ; Jamzad, Mansour (Supervisor)
    Abstract
    Aautomatic image annotation that assigns some labels to input images and provides a textual description for the contents of images has become an active field in machine vision community. To design an annotation system, we need a dataset that contains images and labels for them. However, a large amount of manual efforts is required to annotate all images in a dataset. To reduce the demand of annotation systems on the labeled images, one solution is to exploit useful information embedded into the unlabeled images and incorporate them into learning process. In machine learning community, semi-supervised learning (SSL) has been introduced with the aim of incorporating unlabeled samples into the... 

    Steganalysis Method Based on Image Class

    , M.Sc. Thesis Sharif University of Technology Abolhasani, Amir (Author) ; Jamzad, Mansour (Supervisor)
    Abstract
    Steganalysis is the art of detecting hidden message in a cover such as an image. All steganalysis methods either are designed for a specific steganographer or are blind. Since for a stego image, the steganography method is not available, this is important to detect a stego image without any knowledge about the steganography method using which the secret image was embedded. Therefore in order to dominate all steganography method, if a given image is a stego one, we need to use voting over several steganalysis methods applied on the stego image to improve the accuracy of detection. But this approach needs a long time to process that is not practical for most steganalysis applications. We know...