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    Electrochemical investigation of electrodeposited Fe-Pd alloy thin films

    , Article Electrochimica Acta ; Volume 56, Issue 1 , 2010 , Pages 483-490 ; 00134686 (ISSN) Rezaei, M ; Ghorbani, M ; Dolati, A ; Sharif University of Technology
    Abstract
    In the present study, the electrodeposition of Fe, Pd and Fe-Pd alloys, in alkaline solutions, has been investigated. Using ammonium hydroxide and trisodium citrate as the complexing agents, it has been shown that the co-deposition of Fe and Pd is achieved due to diminishing the difference between the reduction potentials of these two metals. Cyclic voltammetry results clearly show that the electrodeposition processes are diffusion-controlled and the diffusion coefficients of Fe2+ and Pd2+ are 1.11 × 10-6 and 2.19 × 10-5 cm2 s -1, respectively. The step potential experiments reveal that nucleation mechanism is instantaneous with a typical three-dimensional (3D) growth. At low overpotentials,... 

    Efficient shooting and bouncing ray tracing using decomposition of wavefronts

    , Article IET Microwaves, Antennas and Propagation ; Volume 4, Issue 10 , 2010 , Pages 1567-1574 ; 17518725 (ISSN) Mohtashami, V ; Shishegar, A. A ; Sharif University of Technology
    Abstract
    A new acceleration technique is presented for shooting and bouncing ray tracing in indoor environments. Tracing just a few rays, the algorithm finds the solid angles around the transmitter that transport electromagnetic power to the receiver. The accuracy is then improved by iteratively increasing the tessellation frequency of the source in the power-transporting solid angles. No rays will be sent through non-power-transporting solid angles, which results in significant reduction of the simulation time. An example of applying the method for studying indoor radio wave propagation is presented and the results are compared with a very high-resolution fully three-dimensional (3D) ray tracing... 

    Roi-based 3D human brain magnetic resonance images compression using adaptive mesh design and region-based discrete wavelet transform

    , Article International Journal of Wavelets, Multiresolution and Information Processing ; Volume 8, Issue 3 , 2010 , Pages 407-430 ; 02196913 (ISSN) Fatemizadeh, E ; Shooshtari, P ; Sharif University of Technology
    Abstract
    Due to the large volume required for medical images for transmission and archiving purposes, the compression of medical images is known as one of the main concepts of medical image processing. Lossless compression methods have the drawback of a low compression ratio. In contrast, lossy methods have a higher compression ratio and suffer from lower quality of the reconstructed images in the receiver. Recently, some selective compression methods have been proposed in which the main image is divided into two separate regions: Region of Interest (ROI), which should be compressed in a lossless manner, and Region of Background (ROB), which is compressed in a lossy manner with a lower quality. In... 

    Investigation of weld pool in aluminum alloys: geometry and solidification microstructure

    , Article International Journal of Thermal Sciences ; Volume 49, Issue 5 , 2010 , Pages 809-819 ; 12900729 (ISSN) Farzadi, A ; Serajzadeh, S ; Kokabi, A. H ; Sharif University of Technology
    Abstract
    In the present research, weld pool geometry, thermal cycle, temperature and velocity fields during gas tungsten arc welding of aluminum alloys were predicted by solving three-dimensional equations of conservation of mass, energy and momentum under steady-state conditions. Welding experiments were then conducted on several samples with different thicknesses and chemical compositions. The geometries of the weld pools as well as the thermal cycles were measured. It is found that the calculated geometry of the weld fusion zone and the weld thermal cycles are in good agreement with the corresponding experimental results. In addition, the magnitude of the maximum velocities under different... 

    A new criterion for assessment of train derailment risk

    , Article Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics ; Volume 224, Issue 1 , 2010 , Pages 83-101 ; 14644193 (ISSN) Durali, M ; Jalili, M. M ; Sharif University of Technology
    Abstract
    A new criterion for prediction of train derailment is presented in this article. A three-degrees-of-freedom (3 DOF) wheelset model is used to identify the main dynamic parameters that affect wheelset derailment. Using these parameters and conventional definition of derailment coefficient, a new criterion for prediction of wheelset derailment is introduced. The proposed criterion, in addition to providing the required precision in prediction of wheel set derailment, requires measurements that are easy to perform. To evaluate the capability of the new criterion in prediction of derailment, a full wagon model with 48 DOF moving on a track with different random irregularities was used. The track... 

    Precision enhancement in ETSI-Hata propagation model tuning using experimental data in a dense urban area

    , Article International Journal of Communication Systems ; Volume 23, Issue 1 , 2010 , Pages 101-108 ; 10745351 (ISSN) Atamanesh, M ; Farzaneh, F ; Sharif University of Technology
    Abstract
    In this paper an enhanced ETSI-Hata propagation model tuning is presented. The three-dimensional (3D) digital terrain map (DTM) was included in the simulation process. For the enhancement of the model tuning process and precision verification of ETSI-Hata model, the real 3D map of the buildings of the simulated area was incorporated over the DTM. Multiple knife edge diffraction method and the antenna effective height method were used to calculate the diffraction loss. This method was applied for a real urban scenario. For every sector in the coverage area, a tuned model was exploited. Using a genetic algorithm, frequency planning for the entire urban area was performed, which resulted in an... 

    Geometry effects in Eulerian/Granular simulation of a turbulent FCC riser with a (kg-g)-KTGF model

    , Article International Journal of Chemical Reactor Engineering ; Volume 8 , 2010 ; 15426580 (ISSN) Nazif, H. R ; Basirat Tabrizi, H ; Farhadpour, F. A ; Sharif University of Technology
    Abstract
    Three-dimensional, transient turbulent particulate flow in an FCC riser is modeled using an Eulerian/Granular approach. The turbulence in the gas phase is described by a modified realizable (kg-g) closure model and the kinetic theory of granular flow (KTGF) is employed for the particulate phase. Separate simulations are conducted for a rectangular and a cylindrical riser with similar dimensions. The model predictions are validated against experimental data of Sommerfeld et al (2002) and also compared with the previously reported LES-KTGF simulations of Hansen et al (2003) for the rectangular riser. The (kg-g)-KTGF model does not perform as well as the LES-KTGF model for the riser with a... 

    A physically-based three dimensional fracture network modeling technique

    , Article Scientia Iranica ; Volume 19, Issue 3 , 2012 , Pages 594-604 ; 10263098 (ISSN) Masihi, M ; Sobhani, M ; Al Ajmi, A. M ; Al Wahaibi, Y. M ; Khamis Al Wahaibi, T ; Sharif University of Technology
    Abstract
    In poorly developed fractured rocks, the contribution of individual fracture on rock conductivity should be considered. However, due to the lack of data, a deterministic approach cannot be used. The conventional way to model discrete fractures is to use a Poisson process, with prescribed distribution, for fracture size and orientation. Recently, a stochastic approach, based on the idea that the elastic energy due to fractures follows a Boltzmann distribution, has been used to generate realizations of correlated fractures in two dimensions. The elastic energy function has been derived by applying the appropriate physical laws in an elastic medium. The resulting energy function has been used... 

    3-D hough detector for surveillance radars

    , Article IEICE Transactions on Communications ; Volume E93-B, Issue 3 , 2010 , Pages 685-695 ; 09168516 (ISSN) Moqiseh, A ; Nayebi, M. M ; Sharif University of Technology
    Abstract
    The Hough transform is known to be an effective technique for target detection and track initiation in search radars. However, most papers have focused on the simplistic applications of this technique which consider a 2-D data space for the Hough transform. In this paper, a new method based on xthe Hough transform is introduced for detecting targets in a 3-D data space. The data space is constructed from returned surveillance radar signal using the range and bearing information of several successive scans. This information is mapped into a 3-D x-y-t Cartesian data space. Targets are modeled with four parameters in this data space. The proposed 3-D Hough detector is then used to detect the... 

    Direct laser sintering of aluminum matrix composites

    , Article Proceedings of the World Powder Metallurgy Congress and Exhibition, World PM 2010, 10 October 2010 through 14 October 2010 ; Volume 2 , 2010 ; 9781899072194 (ISBN) Simchi, A ; Godlinski, D ; Sharif University of Technology
    Abstract
    In the present work, we used direct metal laser sintering (DMLS) process to fabricate Al-SiC composite parts directly from a three-dimensional CAD model. Al-7Si-0.3Mg powders were blended with various amounts of SiC particles (5, 10, 15, 20 vol%) at two different sizes (7 and 17 μm) and subjected to direct laser sintering using a 200 W continuous wave CO2 laser beam at various scan rates. The densification and microstructural features of the laser-sintered parts were studied. It is shown that the highest density is obtained for the Al alloy-5% SiC (7 μm) composite powder. The melt stability is also found to be improved in the presence of SiC particles. The microstructure of the... 

    Application of the adjoint multi-point and the robust optimization of shock control bump for transonic aerofoils and wings

    , Article Engineering Optimization ; Volume 48, Issue 11 , 2016 , Pages 1887-1909 ; 0305215X (ISSN) Mazaheri, K ; Nejati, A ; Chaharlang Kiani, K ; Sharif University of Technology
    Taylor and Francis Ltd 
    Abstract
    A shock control bump (SCB) is a flow control method which uses a local small deformation in a flexible wing surface to considerably reduce the strength of shock waves and the resulting wave drag in transonic flows. Most of the reported research is devoted to optimization in a single flow condition. Here, both equally and variably weighted multi-point optimization and a robust adjoint optimization scheme are used to optimize the SCB. The numerical simulation of the turbulent viscous flow and a gradient-based adjoint algorithm are used to find the optimum location and shape of the SCB for two benchmark aerofoils. A multi-point optimization method under a constant-lift-coefficient constraint is... 

    Human body 3D reconstruction in multiview soccer scenes by depth optimization

    , Article 24th Iranian Conference on Electrical Engineering, 10 May 2016 through 12 May 2016 ; 2016 , Pages 1591-1596 ; 9781467387897 (ISBN) Zarean, A ; Kasaei, S ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc 
    Abstract
    In soccer matches, 3D reconstruction is a main part of many applications including free-viewpoint broadcasting, match analysis, augmented reality, and refereeing examination. The main challenge of 3D reconstruction in soccer scenes is the human body reconstruction. Although 3D reconstruction methods have been improved to a high extent in controlled condition, still there are lots of uncovered issues in outdoor scene reconstructions with uncontrolled conditions. In this paper, a view-dependent depth optimization method is presented which addresses two of these issues in soccer scenes. These issues include inaccurate camera calibrations and limited number of input cameras. This method will... 

    Learning strengths and weaknesses of classifiers for RGB-D semantic segmentation

    , Article 9th Iranian Conference on Machine Vision and Image Processing, 18 November 2015 through 19 November 2015 ; Volume 2016-February , 2015 , Pages 176-179 ; 21666776 (ISSN) ; 9781467385398 (ISBN) Fooladgar, F ; Kasaei, S ; Sharif University of Technology
    IEEE Computer Society 
    Abstract
    3D scene understanding is an open challenge in the field of computer vision. Most of the focus is on 2D methods in which the semantic labeling of each RGB pixel is considered. But, in this paper, the 3D semantic labeling of RGB-D images is considered. In the proposed method, to extract some meaningful features, the superpixel generation algorithm is applied to the RGB image to segment it into a set of disjoint pixels. After that, the set of three powerful classifiers are utilized to semantically label each superpixel. In the proposed method, the probability outputs of these classifiers are concatenated as the novel feature vector for each superpixel. Consequently, to analyze the strengths... 

    3D reconstruction of non-rigid surfaces from realistic monocular video

    , Article 9th Iranian Conference on Machine Vision and Image Processing, 18 November 2015 through 19 November 2015 ; Volume 2016-February , 2015 , Pages 199-202 ; 21666776 (ISSN) ; 9781467385398 (ISBN) Sepehrinour, M ; Kasaei, S ; Sharif University of Technology
    IEEE Computer Society 
    Abstract
    A novel algorithm for recovering the 3D shape of deformable objects purely from realistic monocular video is presented in this paper. Unlike traditional non-rigid structure from motion (NRSfM) methods, which have been studied only on synthetic datasets and controlled lab environments that needs some prior constraints (such as manually segmented objects, limited rotations and occlusions, or full-length trajectories), the proposed method has been described and tested on realistic video sequences, which have been downloaded from some social networks (such as Facebook and Twitter). In order to apply NRSfM to the realistic video sequences, because of no-prior information about the scene and... 

    Rolled graphene oxide foams as three-dimensional scaffolds for growth of neural fibers using electrical stimulation of stem cells

    , Article Carbon ; Volume 97 , 2016 , Pages 71-77 ; 00086223 (ISSN) Akhavan, O ; Ghaderi, E ; Shirazian, S. A ; Rahighi, R ; Sharif University of Technology
    Elsevier Ltd 
    Abstract
    Graphene oxide foam (GOF) layers with thicknesses of ∼15-50 μm and density of ∼10 graphene oxide (GO) sheets/μm were fabricated by precipitation of chemically exfoliated GO sheets in an aqueous suspension at ∼80 °C under UV irradiation. Then, rolled GOFs with desirable scales were developed as electrically conductive 3D-scaffolds and applied in directional growth of neural fibers, through differentiation of human neural stem cells (hNSCs) into neurons under an electrical stimulation. X-ray photoelectron spectroscopy indicated that the UV irradiation resulted in partial deoxygenation of the layers. Scanning electron microscopy and Raman spectroscopy confirmed the presence of multilayer GO... 

    Improved multi-camera smart traffic surveillance system for resilient cities

    , Article Scientia Iranica ; Volume 23, Issue 4 , 2016 , Pages 1641-1647 ; 10263098 (ISSN) Kavehvash, Z ; Sharif University of Technology
    Sharif University of Technology 
    Abstract
    In this paper, intelligent traffic surveillance system as an important part of a smart resilient city is reviewed. The smart traffic control system is very important in improving the lifestyle by decreasing the traffic saturation and air pollution. Still, multi-camera vision is more helpful in implementing different automatic traffic surveillance systems. Apart from their superior features, existing multi-camera surveillance systems suffer from computational complexity and degraded accuracy. The main reason for these shortcomings arises from image processing errors. These errors depend on the image content and thus are not predictable. To overcome this shortage, three-dimensional (3D)... 

    Axial-flow compressor performance prediction in design and off-design conditions through 1-D and 3-D modeling and experimental study

    , Article Journal of Applied Fluid Mechanics ; Volume 9, Issue 5 , 2016 , Pages 2149-2160 ; 17353572 (ISSN) Peyvan, A ; Hajilouy benisi, A ; Sharif University of Technology
    Isfahan University of Technology 
    Abstract
    In this study, the main objective is to develop a one dimensional model to predict design and off design performance of an operational axial flow compressor by considering the whole gas turbine assembly. The design and off-design performance of a single stage axial compressor are predicted through 1D and 3D modeling. In one dimensional model the mass, momentum and energy conservation equations and ideal gas equation of state are solved in mean line at three axial stations including rotor inlet, rotor outlet and stator outlet. The total to total efficiency and pressure ratio are forecasted using the compressor geometry, inlet stagnation temperature and stagnation pressure, the mass flow rate... 

    Three-dimensional reconstruction of heavily occluded pedestrians using integral imaging

    , Article 10th International Conference on Distributed Smart Cameras, ICDSC 2016, 12 September 2016 through 15 September 2016 ; Volume 12-15-September-2016 , 2016 , Pages 1-7 ; 9781450347860 (ISBN) Ghaneizad, M ; Aghajan, H ; Kavehvash, Z ; CEA; Univ. Bourgogne Franche-Comte; University Blaise Pascal ; Sharif University of Technology
    Association for Computing Machinery 
    Abstract
    In this paper, we propose a novel approach for handling the occlusion problem in pedestrian detection through optical principles. Our proposed framework is based on a popular three-dimensional imaging technique in optics, named integral imaging, in which multiple viewpoint images captured from a three-dimensional scene are used to extract range information of the scene. The proposed approach effectively reconstructs an unobstructed view of heavily occluded pedestrians simultaneously containing range information. The range information provided by our method can be used for foreground extraction and the reconstruction output can be used in various applications, such as people detection and... 

    Interface engineering of perovskite solar cell using a reduced-graphene scaffold

    , Article Journal of Physical Chemistry C ; Volume 120, Issue 35 , Volume 120, Issue 35 , 2016 , Pages 19531-19536 ; 19327447 (ISSN) Tavakoli, M. M ; Tavakoli, R ; Hasanzadeh, S ; Mirfasih, M. H ; Sharif University of Technology
    American Chemical Society 
    Abstract
    Interface engineering of solar cell device is a prominent strategy to improve the device performance. Herein, we synthesize reduced-graphene scaffold (rGS) by using a new and simple chemical approach. In this regard, we synthesize a hollow structure of graphene and then fabricate a three-dimensional scaffold of graphene with a superior surface area using electrophoretic process. We employ this scaffold as an interface layer between the electron transfer and absorber layers in perovskite solar cell. The characterization tests and photovoltaic results show that rGS improves the carrier transportation, yielding a 27% improvement in device performance as compared to conventional device. Finally,... 

    Artificial neural networks to predict 3D spinal posture in reaching and lifting activities; Applications in biomechanical models

    , Article Journal of Biomechanics ; Volume 49, Issue 13 , Volume 49, Issue 13 , 2016 , Pages 2946-2952 ; 00219290 (ISSN) Gholipour, A ; Arjmand, N ; Sharif University of Technology
    Elsevier Ltd 
    Abstract
    Spinal posture is a crucial input in biomechanical models and an essential factor in ergonomics investigations to evaluate risk of low back injury. In vivo measurement of spinal posture through the common motion capture techniques is limited to equipped laboratories and thus impractical for workplace applications. Posture prediction models are therefore considered indispensable tools. This study aims to investigate the capability of artificial neural networks (ANNs) in predicting the three-dimensional posture of the spine (S1, T12 and T1 orientations) in various activities. Two ANNs were trained and tested using measurements from spinal postures of 40 male subjects by an inertial tracking...