Loading...
Search for:
afzali--kiana
0.178 seconds
Geometrical Optimization of Traction Infinitely Variable Transmission for Minimizing of Rollers Deformation
, M.Sc. Thesis Sharif University of Technology ; Zohoor, Hasan (Supervisor)
Abstract
With intensified concerns of rising fuel vehicles that reduce fossil fuel globally and also prescript strict rules by standard institutes, vehicle manufacturers try to find a way for reducing the fuel of their products. One these methods use a continuously variable transmission (CVT) instead of manual and automatic gearboxes. Various CVT’s have been proposed in recent year.
One of the proposed systems is traction infinitely variable transmission (TIVT) that is type of traction drive continuously variable transmission and has been presented in 2007. Research on this system showed that average efficiency is about 96% that is high efficiency. Completed research in 2011 showed that despite...
One of the proposed systems is traction infinitely variable transmission (TIVT) that is type of traction drive continuously variable transmission and has been presented in 2007. Research on this system showed that average efficiency is about 96% that is high efficiency. Completed research in 2011 showed that despite...
Synthesis and Investigation on the Properties of Silica-Graphene Oxide Nanocomposite Coating
, M.Sc. Thesis Sharif University of Technology ; Dolati, Abolghasem (Supervisor)
Abstract
The investigations on hydrophobic surfaces have attracted lots of intrests in science and technology. Silica sols have been used extensively in the area of producing hydrophobic coatings. On the other hand, carbon-based materials have attracted of a great deal of scientific interest in recent years. The purpose of this research is synthesis and investigation on the properties of Silica- Graphene Oxide nanocomposite coating.Graphene Oxide synthesized by using Hummer’s method. Silica nanoparticles were prepared using sol-gel process and tetraethylorthosilicate (TEOS) as precursor. The surface hydroxyl groups of silica nanoparticles are replaced with Methyl groups by treatment with...
A novel algorithm to identify power swing based on superimposed measurements
, Article 2012 11th International Conference on Environment and Electrical Engineering, EEEIC 2012 - Conference Proceedings ; 2012 , Pages 1109-1113 ; 9781457718281 (ISBN) ; Esmaeilian, A ; Sharif University of Technology
IEEE
2012
Abstract
This paper describes a novel adaptive out-of-step detection algorithm based on dissimilar measurement approaches. Two superimposed measurements enable the algorithm to detect fast as well as slow power swings. Both methods recognize power swings right from the beginning of the swing impedance movement. The first principle is based on continuous rate-of-change measurement of the traveling swing impedance. The second method continuously monitors the speed and the shape of the swing impedance trajectory. The algorithm detects extremely high swing frequencies of up to 7 Hz and maintains functionality under single-pole open conditions, i.e. auto-reclose dead time. The associated distance relay...
Study and Improvement of Stability of Generator-based Distributed Generation units Inpresence of Large Nonlinear Loads
, M.Sc. Thesis Sharif University of Technology ; Mokhtari, Hossein (Supervisor)
Abstract
Hyderogels are hydrophilic polymers with three dimensional network structure, due to their high water absoption, their application to life and industry is increasing from day to day, such as tissue engineering, actuators and sensors, drug delivery and therapeutic treatment. In this project, it has been attempted to produce polyacrylamide/alginate double network hydrogels with the use of graphene oxide nanosheets to indicate that it is possible to combine toughness and self-healing in a hydrogel with the opposite nature of each other. To evaluate mechanical properties, uniaxial tensile test and loading-unloading test were used. The results indicate that increase the weight ratio of acrylamide...
Developing a Contract Model for the Owner Constructor Partnership in Building Projects
, M.Sc. Thesis Sharif University of Technology ; Alvanchi, Amin (Supervisor)
Abstract
In recent decades, many building projects have been implemented in the form of partnership agreements between the land owners and the private contractors, investing in the buildings’ construction. The growing trend of implementing such projects is due to the increased price of land and the constructors’ inability to separately buy a piece of land and implement their individual building projects. On the other hand, many owners cannot afford the construction cost of building projects. At present, this form of building partnership agreement arranged and concluded between the landowner and the contractor is not normally signed through balanced and thoroughly thought contract documents. This...
Presenting a Framework for Evaluation of Knowledge Management Development Level in Inter-Organization Perspective
, M.Sc. Thesis Sharif University of Technology ; Isai, Mohammad Taghi (Supervisor)
Abstract
In accomplishment of knowledge management in real world, organization can be in different processes of awareness about importance of knowledge management and its achievements. Recognition of strength and weakness points of organization helps to logical planning and success in performance of knowledge management. For avoiding from failing in knowledge management projects, it is necessary that before stating for project performance, evaluate development level of organization from viewpoint of knowledge management, and determine some approaches for control of general problems of knowledge management, like abundance of information, work complexities, knowledge Storage.
In literature of...
In literature of...
Determination of Reliability (Probability of Failure) of Systems with N Standby Components and Model for its Optimizing and a Model for Determining the Maintenance Time Interval
, M.Sc. Thesis Sharif University of Technology ; Rashtchian, Davood (Supervisor)
Abstract
In modern society, engineers, technical managers are responsible for planning, design, construction, exploitation of simplest to most complex systems. Crashes cause disruption of systems at different levels and can be considered as a serious threat to society and the environment, thus consumers and people expect reliable products and systems. There are different methods for increasing the reliability of systems, one of them is related to their quality and another way is related to use of standby systems. Also maintenance and repairing have major role for keeping up reliability or availability of systems. In the first part of project, optimization the reliability of system by standby...
The Effect of Multi-Directional Forging on the Warm Compression Behavior of AA2024-O
, M.Sc. Thesis Sharif University of Technology ; Kazeminezhad, Mohsen (Supervisor)
Abstract
Aluminum alloys have many applications in various industries such as automotive and aerospace due to their high strength to weight ratio. Today, much research is being done on the strength of metals and alloys after severe plastic deformation. Among these studies, limited work has been done on the hot deformation behavior of alloys that have undergone a severe plastic deformation process. In this research, aluminum alloy 2024-O is subjected to various passes under a type of severe plastic deformation process called multi-directional forging. Samples were divided into zero passes (annealed), one pass, three passes and five passes. After preparing pressure samples from them, hot pressure with...
Investigation of phase diagrams for cylindrical Ising nanotube using cellular automata
, Article Physics Letters, Section A: General, Atomic and Solid State Physics ; Volume 382, Issue 19 , May , 2018 , Pages 1291-1297 ; 03759601 (ISSN) ; Ghaemi, M ; Afzali, K ; Sharif University of Technology
Elsevier B.V
2018
Abstract
Recent developments in the field of applied nanoscience and nanotechnology have heightened the need for categorizing various characteristics of nanostructures. In this regard, this paper establishes a novel method to investigate magnetic properties (phase diagram and spontaneous magnetization) of a cylindrical Ising nanotube. Using a two-layer Ising model and the core-shell concept, the interactions within nanotube has been modelled. In the model, both ferromagnetic and antiferromagnetic cases have been considered. Furthermore, the effect of nanotube's length on the critical temperature is investigated. The model has been simulated using cellular automata approach and phase diagrams were...
A novel and cost-effective method for fabrication of a durable superhydrophobic aluminum surface with self-cleaning properties
, Article Nanotechnology ; Volume 31, Issue 46 , 2020 ; Taghvaei, E ; Moosavi, A ; Sharif University of Technology
IOP Publishing Ltd
2020
Abstract
A hierarchical superhydrophobic surface is prepared via a two-step boiling water immersion process and anodization of the treated aluminum substrate in a novel hydrophobic electrolyte of aluminum nitrate and stearic acid mixture at room temperature. The immersion time in boiling water had a significant influence on the morphology and durability of the sample. A pseudoboehmite coating is created on the aluminum surface during the boiling process, as revealed by the field emission scanning electron microscopy (FE-SEM) and Fourier transform infrared (FTIR) spectrophotometer results. The energy-dispersive x-ray spectroscopy analysis confirmed the formation of hydrophobic coating surface after...
Minimizing the Weighted Tardiness of Jobs in a Flowshop Sequence-Dependent Set-up Times Scheduling
, M.Sc. Thesis Sharif University of Technology ; Ghassemi, Farhad (Supervisor)
Abstract
This research considers the permutation flowshop scheduling problem with sequence‐dependent set‐up times .In this model, every job has a distinct due date and a tardy penalty rate. A mathematical model is developed for the proposed problem. As it has been proved to be strongly NP‐hard, only small‐size problems can be solved with the mathematical approaches. Thus, a meta heuristic algorithm based on the Particles Swarm Optimization (PSO) algorithm is developed to solve the real size problems. Particle swarm optimization (PSO) has been developing rapidly and has been applied, as it is easily understood and realized. Since the PSO algorithm has been introduced for the continuous solution space,...
Sparse representation-based super-resolution for diffusion weighted images
, Article 21st Iranian Conference on Biomedical Engineering, ICBME ; 26-28 November , 2014 , pp. 12-16 ; ISBN: 9781479974177 ; Fatemizadeh, E ; Soltanian-Zadeh, H ; Sharif University of Technology
2014
Abstract
Diffusion weighted imaging (DWI) is a non-invasive method for investigating the brain white matter structure. It can be used to evaluate fiber bundles in the brain. However, clinical acquisitions are often low resolution. This paper proposes a method for improving the resolution using sparse representation. In this method a non-diffusion weighted image (bO) is utilized to learn the patches and then diffusion weighted images are reconstructed based on the trained dictionary. Our method is compared with bilinear, nearest neighbor and bicubic interpolation methods. The proposed method shows improvement in terms of Peak Signal-to-Noise Ratio (PSNR) and Structural SIMilarity (SSIM)
Interpolation of orientation distribution functions (ODFs) in Q-ball imaging
, Article 2012 19th Iranian Conference of Biomedical Engineering, ICBME 2012 ; 2012 , Pages 213-217 ; 9781467331302 (ISBN) ; Fatemizadeh, E ; Soltanian Zadeh, H ; Sharif University of Technology
2012
Abstract
Diffusion tensor magnetic resonance imaging (DTMRI) is a non-invasive method for investigating the brain white matter structure. It can be used to evaluate fiber bundles in the brain but in the regions with crossing fibers, it fails. To resolve this problem, high angular resolution diffusion imaging (HARDI) with a large number of diffusion encoding directions is used and for reconstruction, the Q-ball method is applied. In this method, orientation distribution function (ODF) of fibers can be calculated. Mathematical models play a crucial role in the field of ODF. For instance, in registering Q-ball images for applications like group analysis or atlas construction, one needs to interpolate...
High angular resolution diffusion image registration
, Article Iranian Conference on Machine Vision and Image Processing, MVIP ; Sept , 2013 , Pages 232-236 ; 21666776 (ISSN) ; 9781467361842 (ISBN) ; Fatemizadeh, E ; Soltanian Zadeh, H ; Sharif University of Technology
IEEE Computer Society
2013
Abstract
Diffusion Tensor Imaging (DTI) is a common method for the investigation of brain white matter. In this method, it is assumed that diffusion of water molecules is Gaussian and so, it fails in fiber crossings where this assumption does not hold. High Angular Resolution Diffusion Imaging (HARDI) allows more accurate investigation of microstructures of the brain white matter; it can present fiber crossing in each voxel. HARDI contains complex orientation information of the fibers. Therefore, registration of these images is more complicated than the scalar images. In this paper, we propose a HARDI registration algorithm based on the feature vectors that are extracted from the Orientation...
Effect of different diffusion maps on registration results
, Article 2011 7th Iranian Conference on Machine Vision and Image Processing, MVIP 2011 - Proceedings ; 2011 ; 9781457715358 (ISBN) ; Fatemizadeh, E ; Soltanian Zadeh, H ; Sharif University of Technology
2011
Abstract
In this paper, we compare registration results obtained using different diffusion maps extracted from diffusion tensor imaging (DTI). Fractional Anisotropy (FA) and Ellipsoidal Area Ratio (EAR) are two diffusion maps (indices) that may be used for image registration. First, we use FA maps to find deformation matrix and register diffusion weighted images. Then, we use EAR maps and finally we use both of FA and EAR maps to register diffusion weighted images. The difference between FA values before deformation and after registration using the FA alone or EAR alone has a median of 0.57 and using both of them has a median of 0.29. Therefore, the results of registration using both of the FA and...
Interpolation of orientation distribution functions in diffusion weighted imaging using multi-tensor model
, Article Journal of Neuroscience Methods ; Volume 253 , 2015 , Pages 28-37 ; 01650270 (ISSN) ; Fatemizadeh, E ; Soltanian Zadeh, H ; Sharif University of Technology
2015
Abstract
Background: Diffusion weighted imaging (DWI) is a non-invasive method for investigating the brain white matter structure and can be used to evaluate fiber bundles. However, due to practical constraints, DWI data acquired in clinics are low resolution. New method: This paper proposes a method for interpolation of orientation distribution functions (ODFs). To this end, fuzzy clustering is applied to segment ODFs based on the principal diffusion directions (PDDs). Next, a cluster is modeled by a tensor so that an ODF is represented by a mixture of tensors. For interpolation, each tensor is rotated separately. Results: The method is applied on the synthetic and real DWI data of control and...
Sparse registration of diffusion weighted images
, Article Computer Methods and Programs in Biomedicine ; Volume 151 , 2017 , Pages 33-43 ; 01692607 (ISSN) ; Fatemizadeh, E ; Soltanian Zadeh, H ; Sharif University of Technology
2017
Abstract
Background and objective Registration is a critical step in group analysis of diffusion weighted images (DWI). Image registration is also necessary for construction of white matter atlases that can be used to identify white matter changes. A challenge in the registration of DWI is that the orientation of the fiber bundles should be considered in the process, making their registration more challenging than that of the scalar images. Most of the current registration methods use a model of diffusion profile, limiting the method to the used model. Methods We propose a model-independent method for DWI registration. The proposed method uses a multi-level free-form deformation (FFD), a sparse...
Modeling and Dynamic Investigation of Hypothalamic–Pituitary–Adrenal (HPA) Axis in Response to Stress
, M.Sc. Thesis Sharif University of Technology ; Vafa, Ehsan (Supervisor)
Abstract
The “hypothalamus-pituitary-adrenal” axis is one of the most important axes of the human body, and cortisol is one of its key products, which plays an essential role in the immune system, stress management, and many diseases. Appropriate modeling and simulation of this axis can help us to understand how the body reacts to stress and inflammation, to examine relevant diseases, and how drugs affect the body. In this study, by combining an axial model of the hypothalamic-pituitary-adrenal axis with a model of adrenal cells, a bi-level model including several time delays has been developed that can predict the effect of stress on this axis. Some parameters of the model have been modified through...
Medical image registration using sparse coding of image patches
, Article Computers in Biology and Medicine ; Volume 73 , 2016 , Pages 56-70 ; 00104825 (ISSN) ; Ghaffari, A ; Fatemizadeh, E ; Soltanian Zadeh, H ; Sharif University of Technology
Elsevier Ltd
2016
Abstract
Image registration is a basic task in medical image processing applications like group analysis and atlas construction. Similarity measure is a critical ingredient of image registration. Intensity distortion of medical images is not considered in most previous similarity measures. Therefore, in the presence of bias field distortions, they do not generate an acceptable registration. In this paper, we propose a sparse based similarity measure for mono-modal images that considers non-stationary intensity and spatially-varying distortions. The main idea behind this measure is that the aligned image is constructed by an analysis dictionary trained using the image patches. For this purpose, we use...
Intelligent timetable evaluation using fuzzy AHP
, Article Expert Systems with Applications ; Volume 38, Issue 4 , 2011 , Pages 3718-3723 ; 09574174 (ISSN) ; Kanani, A ; Tootoonchi, M ; Afzali, H. R ; Sharif University of Technology
2011
Abstract
There is a substantial body of empirical literature that establishes the benefits of customer satisfaction for enterprises. Among different available options to present our service, selecting the best choice in the customers' eyes is a vital decision. Developing appropriate passenger train schedules is counted as one of the major managerial concerns in transportation environment. Although different algorithms have been developed to create predictive schedules for a fleet of passenger trains using different performance indicators, selecting the best one embraces some ambiguities and uncertainties. That is because a one-dimensional objective function may not be sufficient for responding...