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QuT: A low-power optical network-on-chip
, Article Proceedings - 2014 8th IEEE/ACM International Symposium on Networks-on-Chip, NoCS 2014, 17 September 2014 through 19 September 2014 ; 2015 , Pages 80-87 ; 9781479953479 (ISBN) ; Enright Jerger, N ; Hessabi, S ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2015
Abstract
To enable the adoption of optical Networks-on-Chip (NoCs) and allow them to scale to large systems, they must be designed to consume less power and energy. Therefore, optical NoCs must use a small number of wavelengths, avoid excessive insertion loss and reduce the number of microring resonators. We propose the Quartern Topology (QuT), a novel low-power all-optical NoC. We also propose a deterministic wavelength routing algorithm based on Wavelength Division Multiplexing that allows us to reduce the number of wavelengths and microring resonators in optical routers. The key advantages of QuT network are simplicity and lower power consumption. We compare QuT against three alternative...
Mathematical Modeling of Airlift Slurry Reactor for Removal of Hydrogen Sulfide (Hydrodesulfurization)
, M.Sc. Thesis Sharif University of Technology ; Yaghmaei, Soheila (Supervisor) ; Mashayekhan, Shohreh (Co-Advisor)
Abstract
After carbon and hydrogen the most existed element in crude oil is sulfur which is appeared as sulfur compound in fossil fuels. Sulfur might be converted to hydrogen sulfide by hydrodesulphurization operation. The increasing demand for sulfur removal has required large improvements in hydrodesulphurization technology.Most hydrodesulphurization processes use fixed-bed reactors, however, there are still some disadvantages with performing hydrodesulphurization in these reactors. The most important one is high exothermic nature of hydrodesulphurization process which cause some problems for catalyst in these reactors and decrease the performance of catalyst. In order to solve the temperature...
Mathematical modeling of a slurry bubble column reactor for hydrodesulfurization of diesel fuel: Single- and two-bubble configurations
, Article Chemical Engineering Research and Design ; Volume 100 , August , 2015 , Pages 362-376 ; 02638762 (ISSN) ; Yaghmaei, S ; Fattahi, M ; Mashayekhan, S ; Hosseini Ardali, S. M ; Sharif University of Technology
Institution of Chemical Engineers
2015
Abstract
In this investigation, a mathematical model for HDS of diesel fuel in a slurry bubble column reactor was developed. The model is based on the axial dispersion of the heterogeneous gas flow regime, which includes two various bubble classes: large (20±70mm) and small (1±10mm). By assuming only large or large plus small bubbles in the column, single- and two-bubble class mode equations are developed. The developed models to solving the mass and enthalpy balances from which the sulfur conversion was obtained that undertaken. The chemical kinetics over NiMoS/γ-Al2 O3 catalyst were undertaken for the reaction rate of the involved reactions. The reactor operating conditions...
Improved algorithms in parallel evaluation of large cryptographic S-boxes
, Article International Journal of Parallel, Emergent and Distributed Systems ; Volume 35, Issue 4 , 2020 , Pages 461-472 ; Ghasemi, R ; Sharif University of Technology
Taylor and Francis Ltd
2020
Abstract
Nowadays computational complexity of fast Walsh Hadamard transform and non-linearity for Boolean functions and large cryptographic substitution boxes is a major challenge of modern cryptography research on strengthening encryption schemes against linear and differential attacks. Time and memory complexities of the best existing algorithm for computing fast Walsh Hadamard transform and non-linearity for (Formula presented.) substitution boxes is (Formula presented.). This paper proposes three new innovation in acceleration methods that improve the computation time for paralleled Walsh matrix up to 68 folds and the evaluation time for non-linearity degree up to 1021 folds. These methods...
Development of a novel Peng–Robinson plus association equation of state for industrially important associating compounds
, Article Neural Computing and Applications ; Nov , 2015 , Pages 1-9 ; 09410643 (ISSN) ; Khadem Hamedani, B ; Sharif University of Technology
Springer-Verlag London Ltd
2015
Abstract
Cubic plus association (CPA) equations of state (EoSs) have found great interest in describing thermodynamic properties of associating fluids. In CPA EoSs, the association contribution proposed by Wertheim is added to cubic EoSs such as Soave–Redlich–Kwong (SRK) and Peng–Robinson (PR). In different developments of CPA EoSs, adjusting the pure component properties such as critical temperature and critical pressure in addition to the association parameters is proposed in some works in the literature. In this work, the PR EoS has been extended to water, phenol, and a number of alcohols (methanol up to dodecanol) by addition of the Wertheim association contribution. In contrast to other CPA...
Development of a novel Peng–Robinson plus association equation of state for industrially important associating compounds
, Article Neural Computing and Applications ; Volume 31, Issue 7 , 2019 , Pages 2107-2115 ; 09410643 (ISSN) ; Khadem Hamedani, B ; Sharif University of Technology
Springer London
2019
Abstract
Cubic plus association (CPA) equations of state (EoSs) have found great interest in describing thermodynamic properties of associating fluids. In CPA EoSs, the association contribution proposed by Wertheim is added to cubic EoSs such as Soave–Redlich–Kwong (SRK) and Peng–Robinson (PR). In different developments of CPA EoSs, adjusting the pure component properties such as critical temperature and critical pressure in addition to the association parameters is proposed in some works in the literature. In this work, the PR EoS has been extended to water, phenol, and a number of alcohols (methanol up to dodecanol) by addition of the Wertheim association contribution. In contrast to other CPA...
Examination of a solar desalination system equipped with an air bubble column humidifier, evacuated tube collectors and thermosyphon heat pipes
, Article Desalination ; Volume 397 , 2016 , Pages 30-37 ; 00119164 (ISSN) ; Behshad Shafii, M ; Sharif University of Technology
Elsevier
2016
Abstract
In this paper, the performance of a novel HDH solar desalination system equipped with a combination of heat pipe (HP), evacuated tube collector (ETC) and air bubble column humidifier is experimentally investigated. This novel HDH system uses advantages of ETC-HP as a highly efficient thermal absorption and conductor device, and at the same time employs the advantages of an air bubble column humidifier, i.e. high interface area and effective mixing in order to heat the water and humidify the air, respectively. The effects of various parameters including incoming air flow rate into the humidifier, initial depth of water in the humidifier, and adding fluids such as oil and water in the space...
Development of systematic framework for an intelligent decision support system in gas transmission network
, Article Industrial and Engineering Chemistry Research ; Volume 54, Issue 43 , 2015 , Pages 10768-10786 ; 08885885 (ISSN) ; Bozorgmehry Boozarjomehry, R ; Sharif University of Technology
American Chemical Society
2015
Abstract
In a gas transmission network (GTN), faults can easily propagate due to the interconnections of streams. The main objective of this paper is to develop a systematic framework for an online decision support system (DSS) in order to make the right decisions to get the GTN out of critical conditions (which cannot be handled by the plant controllers) smoothly. One of the key features of the proposed scheme is its lack of dependence on prior knowledge of the fault signals (e.g., number of faults, and their origin). In this article, the GTN is modeled by a fuzzy directed graph (FDG). The proposed approach utilizes a reasoning algorithm based on the deviations that exist in the process variables...
Design and prototype of an active assistive exoskeletal robot for rehabilitation of elbow and wrist
, Article Scientia Iranica ; Volume 23, Issue 3 , 2016 , Pages 998-1005 ; 10263098 (ISSN) ; Zohoor, H ; Khadem, S.M ; Sharif University of Technology
Sharif University of Technology
2016
Abstract
Due to the increasing number of people suffering from physical disabilities in the elbow and wrist, developing an assistive wearable robot seems crucial. These disabilities are mostly common in elderly people and people who are suffering from spinal injury or stroke. In this paper, a wearable assistive robot for rehabilitation of the wrist and elbow is developed. The mechanism has 3 Degree of Freedom (DoF); two active DoF for assisting the exion/extension of the elbow and wrist, and a passive one in order to have unconstrained supination/pronation of the forearm. The motors and sensors were chosen based on kinematic constraints governing the motion of arms and wrists. Finally, with the...
Development of an Intelligent Decision Support System to Operate Gas Transmission Network
, M.Sc. Thesis Sharif University of Technology ; Bozorgmehry Boozarjomehry, Ramin (Supervisor)
Abstract
In plant-wide systems, faults can easily propagate due to the interconnection of streams. The main objective of this paper is to develop a systematic framework for online decision support system (DSS) in order to make the right decision to get the process out of critical conditions (which cannot be handled by the plant controllers) smoothly. One of the key features of the proposed approach is its lack of dependence on prior knowledge of the fault signals (e.g. number of faults, and their origin). In the proposed scheme, the plant is modeled by a fuzzy directed graph (FDG). The proposed scheme utilizes a backward reasoning based on the deviations that exists in the process variables...
Condition Monitoring and Operation Optimization of Hybrid Energy-Water Systems in a Variable Environment
, M.Sc. Thesis Sharif University of Technology ; Saboohi, Yadollah (Supervisor)
Abstract
Condition monitoring and operation optimization framework of water and energy hybrid systems has been developed in the present research work, by taking into account the variation in behavior of the system over time under changing environmental conditions. System modeling is performed using the physical laws governing the behavior hybrid energy-water system. In addition, machine learning has been used to estimate the deviation of the mathematical model from system operation, which may be due to the effect of depreciation of machinery parts and other uncertain parameters. Using machine learning and mathematical modeling together results in increased accuracy in predicting system behavior over...
The existence, uniqueness, and measurability of a stopped semilinear integral equation
, Article Stochastic Analysis and Applications ; Volume 25, Issue 3 , 2007 , Pages 493-518 ; 07362994 (ISSN) ; Zangeneh, B. Z ; Sharif University of Technology
2007
Abstract
In this article, we prove the existence, uniqueness, and measurability of the solution for the following stopped semimonotone nonlinear integral equation [image omitted] We also improve the previous results under weaker assumptions
Stopped Doob inequality for p-TH moment, 0 < p < ∞, stochastic convolution integrals
, Article Stochastic Analysis and Applications ; Volume 19, Issue 5 , 2001 , Pages 771-798 ; 07362994 (ISSN) ; Zangeneh, B. Z ; Sharif University of Technology
2001
Abstract
We give stopped Doob inequalities for p-th moment, 0 < p < ∞, of stochastic convolution integrals ∫(0,t| U(t,s)φs-dMs in a Hilbert space, where M is a Hilbert space-valued cadlag square integrable martingale, φ is an operator-valued predictable process and U(t,s) is a contraction-type evolution operator. We also generalize the previous results and try to get smaller constants
The Management of Land-Based Pollution in Wetlands: A Case Study of Miankaleh Wetland
, M.Sc. Thesis Sharif University of Technology ; Raie, Mohammad (Supervisor)
Abstract
Gorgan Bay and Miankaleh Wetland are considered as one of the biosphere reserves and among the areas of international importance in the Ramsar Convention, thus they have great importance. These two inseparable zones are located in the southeast of the Caspian Sea and are connected to the Caspian Sea through Chapaghli Canal and Ashuradeh Canal. The health and water quality of this area has undergone many changes over the years, and the re-reduction of its water level has caused concern among environmental activists. Since Miankaleh wetland is a shallow and semi-enclosed water area that is connected to the Caspian Sea through two narrow canals, pollutants that enter it from land will have a...
MRI-PET image fusion based on NSCT transform using local energy and local variance fusion rules
, Article Journal of Medical Engineering and Technology ; Vol. 38, issue. 4 , 2014 , p. 211-219 ; Fatemizadeh, E ; Behnam, H ; Sharif University of Technology
2014
Abstract
Image fusion means to integrate information from one image to another image. Medical images according to the nature of the images are divided into structural (such as CT and MRI) and functional (such as SPECT, PET). This article fused MRI and PET images and the purpose is adding structural information from MRI to functional information of PET images. The images decomposed with Nonsubsampled Contourlet Transform and then two images were fused with applying fusion rules. The coefficients of the low frequency band are combined by a maximal energy rule and coefficients of the high frequency bands are combined by a maximal variance rule. Finally, visual and quantitative criteria were used to...
A robust dual source level set method for three-dimensional echocardiography image segmentation
, Article Journal of Theoretical and Applied Information Technology ; Volume 95, Issue 21 , 2017 , Pages 5701-5710 ; 19928645 (ISSN) ; Fatemizadeh, E ; Behnam, H ; Sharif University of Technology
2017
Abstract
Echocardiography as a common place device has been widely used for diagnosis. Segmentation of left ventricle just using the standard level set formulation based on the magnitude of intensity cannot restrict the contour evolution completely due to the lack of sharp edges. This paper aims to introduce a robust method for segmentation of three-dimensional echocardiography images based on two boundary maps namely distance map and probabilistic map as stopping criteria of contour evolution which are extracted using two different approaches. The distance map is extracted by applying Free Form Deformation (FFD) method on manually determined landmarks of initial spherical volume to register the...
An optimized probabilistic edge based level set method for left ventricle segmentation in echocardiography images
, Article Biomedical Research (India) ; Volume 28, Issue 8 , 2017 , Pages 3788-3793 ; 0970938X (ISSN) ; Fatemizadeh, E ; Behnam, H ; Sharif University of Technology
Scientific Publishers of India
2017
Abstract
In this paper, an efficient approach for ultrasonic object segmentation with special application for left ventricle segmentation in echocardiography images is proposed. At first, an efficient hybrid trend for ultrasonic image edge detection is suggested. Then, a modified level set approach is introduced based on the extracted edges and the computed probabilistic map as the stopping criteria for the contour evolution. Both synthetic and clinical images are utilized as validation measures with respect to the prior techniques which indicate outperform results quantitatively and qualitatively. Left ventricle segmentation using proposed method illustrates expert-approved performance, providing a...
A review on state-of-the-art applications of data-driven methods in desalination systems
, Article Desalination ; Volume 532 , 2022 ; 00119164 (ISSN) ; Faegh, M ; Khiadani, M ; Sharif University of Technology
Elsevier B.V
2022
Abstract
The substitution of conventional mathematical models with fast and accurate modeling tools can result in the further development of desalination technologies and tackling the need for freshwater. Due to the great capability of data-driven methods in analyzing complex systems, several attempts have been made to study various desalination systems using data-driven approaches. In this state-of-the-art review, the application of various artificial intelligence and design of experiment data-driven methods for analyzing different desalination technologies have been thoroughly investigated. According to the applications of data-driven methods in the field of desalination, the reviewed...
Investigating the effect of engine noise on power management strategy of a hybrid electric vehicle
, Article Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering ; Volume 232, Issue 10 , 2018 , Pages 1287-1296 ; 09544070 (ISSN) ; Aliramezani, M ; Khadem Nahvi, M ; Sharif University of Technology
SAGE Publications Ltd
2018
Abstract
Hybrid electric vehicles (HEVs) have been developed as a promising way to decrease the fuel consumption and emissions of conventional vehicles. Although the noise emission of HEVs is generally lower than that of conventional vehicles, it is still an issue, especially in urban transportation. In this paper, a power management strategy is developed to minimize the annoying noise of the engine for an HEV. This is a modified version of the strategy that was originally established based on the speed ratio of continuously variable transmission (CVT) as the control parameter (CVT-based strategy). The engine combustion noise is assessed using the experimental data of the in-cylinder pressure. Also,...
Temperature control in three-network on chips using task migration
, Article IET Computers and Digital Techniques ; Vol. 7, issue. 6 , November , 2013 , pp. 274-281 ; 1751-861X (online) ; Hessabi, H ; Hamedani, P. K ; Sharif University of Technology
2013
Abstract
Combination of three-dimensional (3D) IC technology and network on chip (NoC) is an effective solution to increase system scalability and also alleviate the interconnect problem in large-scale integrated circuits. However, because of the increased power density in 3D NoC systems and the destructive effect of high temperatures on chip reliability, applying thermal management solutions becomes crucial in such circuits. In this study, the authors propose a runtime distributed migration algorithm based on game theory to balance the heat dissipation among processing elements (PEs) in a 3D NoC chip multiprocessor. The objective of this algorithm is to minimise the 3D NoC system's peak temperature,...