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Suction-induced hardening effects on the shear modulus of unsaturated silt
, Article International Journal of Geomechanics ; Volume 16, Issue 6 , 2016 ; 15323641 (ISSN) ; Salam, S ; McCartney, J. S ; Dadashi, A ; Sharif University of Technology
American Society of Civil Engineers (ASCE)
2016
Abstract
The small-strain shear modulus Gmax is a key material parameter in modeling the behavior of soils subjected to dynamic loading. Recent experimental results indicate that seasonal weather interaction with near-surface soils causes Gmax to change by up to an order of magnitude in some climates, with a hysteretic response upon drying and wetting. The increase in Gmax during drying and the stiffer response during subsequent wetting have been postulated to be due to plastic hardening during drying. To further understand this behavior, a series of isotropic compression tests were performed on compacted silt specimens at different values of matric suction to evaluate changes in the preconsolidation...
Rewiring dynamical networks with prescribed degree distribution for enhancing synchronizability
, Article Chaos ; 2010 , Volume 20, Issue 4 ; 10541500 (ISSN) ; Barjasteh, I ; Jalili, M ; Sharif University of Technology
American Institute of Physics Inc
2010
Abstract
In this paper, we present an algorithm for enhancing synchronizability of dynamical networks with prescribed degree distribution. The algorithm takes an unweighted and undirected network as input and outputs a network with the same node-degree distribution and enhanced synchronization properties. The rewirings are based on the properties of the Laplacian of the connection graph, i.e., the eigenvectors corresponding to the second smallest and the largest eigenvalues of the Laplacian. A term proportional to the eigenvectors is adopted to choose potential edges for rewiring, provided that the node-degree distribution is preserved. The algorithm can be implemented on networks of any sizes as...
Large deviation principle for semilinear stochastic evolution equations with monotone nonlinearity and multiplicative noise
, Article Differential and Integral Equations ; Volume 23, Issue 7-8 , Apr , 2010 , Pages 747-772 ; 08934983 (ISSN) ; Zangeneh, B. Z ; Sharif University of Technology
2010
Abstract
We demonstrate the large deviation property for the mild solutions of stochastic evolution equations with monotone nonlinearity and multiplicative noise. This is achieved using the recently developed weak convergence method, in studying the large deviation principle. An Itô-type inequality is a main tool in the proofs. We also give two examples to illustrate the applications of the theorems
A New Testing Approach to Evaluate the Role of Unsaturated Stress State Variables and Degree of Saturation of Infill Materials on the Behavior of Infilled Rock Fractures
, M.Sc. Thesis Sharif University of Technology ; Khosravi, Ali (Supervisor)
Abstract
Theoretical and experimental studies have shown that natural fractures may exhibit capillary behavior because of either their wall-roughed nature or presence of partially saturated fine materials within the fractures. Different factors are expected to affect the capillary behavior and consequently the hydraulic and mechanical properties of fractures including topology of void spaces in fractures, and state of stress of infill materials and their initial innate conditions (e.g., void ratio, water content, degree of saturation and dry density). Therefore, comprehensive characterization of their hydro-mechanical behavior requires knowledge of morphological details of fracture surface, as well...
Design and Evaluation of a Reconfigurable Accelerator for Sparse Neural Networks
, M.Sc. Thesis Sharif University of Technology ; Sarbazi Azad, Hamid (Supervisor)
Abstract
Deep Neural Networks (DNNs) are widly used in various domains, such as medicine, engineering, industry, financial markets, mathematics and management. DNNs are composed of several layers, such as convolutional and fully connected layers. Increasing the number of layers in DNNs provides different application with their required accuracy. In recent years, there have been many accelerator aiming to execute DNNs. However, the high computation and memory demands in DNNs are the main challenges to execute DNNs. To reduce computation and memory requirements, various methods such as pruning and quantization, have been proposed. Pruning and quantization methods make the DNNs sparse and increase the...
Hydraulic Behavior of Infilled Fractured Rocks under Unsaturated Conditions
, Article Joint Geotechnical and Structural Engineering Congress 2016, 14 February 2016 through 17 February 2016 ; 2016 , Pages 1708-1718 ; 9780784479742 (ISBN) ; Mousavi, S ; Dadashi Serej, A ; Sharif University of Technology
American Society of Civil Engineers (ASCE)
2016
Abstract
Slip along fractures or hydrothermal alternation may lead to formation of weak layers of soils intercalated between the existing rock layers. In this situation, characterization of the behavior of rock fractures requires consideration of a complicated interaction of mechanical properties and geometrical characteristics of the fracture, coupled together with the properties of infill materials. Of the most important parameters which may considerably affect the behavior of an infilled fractured rock are the hydraulic properties of the infill material. These properties reflect the water retention ability of the infill material and determine the meniscus arrangements between the particles. This...
A bi-objective multi-facility location-allocation problem with probabilistic customer locations and arrivals: two meta-heuristics using discrete approximation
, Article Journal of Uncertain Systems ; Volume 12, Issue 2 , 2018 , Pages 123-140 ; 17528909 (ISSN) ; Akhavan Niaki, S. T ; Dadashi, M ; Sharif University of Technology
World Academic Union
2018
Abstract
In this work, a bi-objective multi-facility location-allocation problem is investigated, in which the locations of the customers and their arrivals are stochastic. We first formulate the problem as a continuous location-allocation model with no constraints on the capacity of the facilities. Then, we develop an approximated discrete model in which the facilities with limited capacities can be located on a set of candidate points. The proposed model has two objective functions that are evaluated using discrete event system simulation. The first objective is to minimize the expected total time the customers spend in the system until their services begin. The time that each customer spends in...
A Data-Driven Optimization Methodology to Improve Unmatched Pairs Assignment in Kidney Exchange Problem
, M.Sc. Thesis Sharif University of Technology ; Najafi, Mahdi (Supervisor) ; Rafiee, Majid (Supervisor)
Abstract
One of the most common and effective ways to treat end-stage renal disease is the use of kidney exchange techniques. However, the main problem with this treatment is the presence of many barriers to allocating kidney pairs to each other, which reduces the success of kidney transplants. Among different types of kidney transplantation methods, the present study utilizes kidney transplantation cycles to develop the allocation of unmatched pairs in kidney transplantation using a data-driven optimization technique. In this study, HLA patients were considered as simulated and also a two-objective model in the kidney exchange network was designed to maximize the probability of kidney...
A review on catalytic reduction/degradation of organic pollution through silver-based hydrogels
, Article Arabian Journal of Chemistry ; Volume 15, Issue 9 , 2022 ; 18785352 (ISSN) ; Ali Ghasemzadeh, M ; Alipour, S ; Zamani, F ; Sharif University of Technology
Elsevier B.V
2022
Abstract
Various challenging pollutants are produced in the environment by organic materials of diverse industries including leather, paint, and textile. Nowadays, it is vital to develop efficient manners regarding the fundamental issues and removing pollutants. Such pollutants can be effectively removed from the environment through heterogeneous catalysts. Recently, a huge deal of interest has been attracted by hydrogel-based metal catalysts as heterogeneous and efficient catalysts. In this regard, silver with its unique features is suitable for environmental remediation. Hence, the present review deals with summarizing the present advances in the synthesis of silver-based hydrogel catalysts, as...
, Ph.D. Dissertation Sharif University of Technology ; Zohori Zangeneh, Bijan (Supervisor) ; Zamani, Shiva (Supervisor)
Abstract
Large deviation principle (LDP) for stochastic differential equation is one of the interesting and modern topics in stochastic analysis. Principally, this theory gives the rate of convergence to the solution of the corresponding deterministic equation when the noise tends to zero. The study of LDP for SDE’s has been initiated by M. Freidlin and A. Wentzell and then has been considered by many other researchers. Freidlin andWentzell divided the interval [0, T] to small subintervals and considered the diffusion coefficient as a constant on any small subintervals. Then the problem is reduced to the additive noise case. But using the contraction principle, the study of LDP for an equation with...
Minimization of target registration error for vertebra in image-guided spine surgery
, Article International Journal of Computer Assisted Radiology and Surgery ; Vol. 9, issue. 1 , January , 2014 , p. 29-38 ; Ahmadian, A ; Dadashi Serej, N ; Saberi, H ; Amini Khoiy, K ; Sharif University of Technology
2014
Abstract
Purpose: The accuracy of pedicle screw placement during image-guided spine surgery (IGSS) can be characterized by estimating the target registration error (TRE). The major factors that influence TRE were identified, minimized, and verified with in vitro experiments. Materials and methods: Computed-tomography- compatible markers are placed over anatomical landmarks of lumbar vertebral segments in locations that are feasible and routinely used in surgical procedures. TRE was determined directly for markers placed on the pedicles of vertebra segments. First, optimum selections of landmarks are proposed for different landmarks according to the minimum achievable TRE values in different...
A robust keypoint extraction and matching algorithm based on wavelet transform and information theory for point-based registration in endoscopic sinus cavity data
, Article Signal, Image and Video Processing ; Volume 10, Issue 5 , 2016 , Pages 983-991 ; 18631703 (ISSN) ; Ahmadian, A ; Kasaei, S ; Sadrehosseini, S. M ; Farnia, P ; Sharif University of Technology
Springer-Verlag London Ltd
2016
Abstract
Feature extraction is one of the most important steps in processing endoscopic data. The extracted features should be invariant to image scale and rotation to provide a robust matching across a substantial range of affine distortions and changes in 3D space. In this study, a method is proposed on the basis of the dual-tree complex wavelet transform. First, a map is estimated for each scale, and then a Gaussian weighted additive function (GWAF) is determined. Keypoints are selected from local peaks of GWAF. The matching and registration are performed by applying normalized mutual information and our modified iterative closest point. Results are reported in terms of robustness to rotation,...
A novel nanocomposite with superior antibacterial activity: a silver-based metal organic framework embellished with graphene oxide
, Article Advanced Materials Interfaces ; Volume 5, Issue 11 , 3 April , 2018 ; 21967350 (ISSN) ; Arabi Shamsabadi, A ; Sharifian Gh, M ; Rahimpour, A ; Soroush, M ; Sharif University of Technology
Wiley-VCH Verlag
2018
Abstract
Silver-based nanomaterials have attracted considerable attention due to their antimicrobial activities. In this work, a silver (Ag)-based metal organic framework (Ag-MOF) is embellished with graphene-oxide (GO), leading to the fabrication of a novel Ag-based nanocomposite (GO-Ag-MOF) whose biocidal activity is higher than those of Ag-MOF and GO nanomaterials. The nanocomposite is characterized using X-ray photoelectron spectroscopy, transmission electron microscopy, scanning electron microscope, Fourier transform infrared spectra, ultraviolet−visible absorption spectra, X-ray powder diffraction, dynamic light scattering, and nitrogen gas adsorption/desorption. The characterization shows that...
Chemistry, abundance, detection and treatment of per- and polyfluoroalkyl substances in water: a review
, Article Environmental Chemistry Letters ; 2021 ; 16103653 (ISSN) ; Zolghadr, E ; Ahmadalipour, S ; Taghvaei, N ; Akbari Afkhami, F ; Nejati, S ; Elliott, M. A ; Sharif University of Technology
Springer Science and Business Media Deutschland GmbH
2021
Abstract
Per- and polyfluoroalkyl substances (PFAS) encompass a wide range of compounds containing carbon–fluorine bonds. Due the strength of this bond and the high electronegativity of fluorine atoms, PFAS display stability, wettability and other characteristics that are unique for industrial applications and products. However, PFAS induce adverse effects on the environment and human health. Here we review the chemistry, synthesis, properties, analysis, occurrence in water, filtration, removal and oxydation of PFAS. We highlight emerging hybrid treatments to remove PFAS from water. © 2021, The Author(s), under exclusive licence to Springer Nature Switzerland AG
Chemistry, abundance, detection and treatment of per- and polyfluoroalkyl substances in water: a review
, Article Environmental Chemistry Letters ; Volume 20, Issue 1 , 2022 , Pages 661-679 ; 16103653 (ISSN) ; Zolghadr, E ; Ahmadalipour, S ; Taghvaei, N ; Akbari Afkhami, F ; Nejati, S ; Elliott, M. A ; Sharif University of Technology
Springer Science and Business Media Deutschland GmbH
2022
Abstract
Per- and polyfluoroalkyl substances (PFAS) encompass a wide range of compounds containing carbon–fluorine bonds. Due the strength of this bond and the high electronegativity of fluorine atoms, PFAS display stability, wettability and other characteristics that are unique for industrial applications and products. However, PFAS induce adverse effects on the environment and human health. Here we review the chemistry, synthesis, properties, analysis, occurrence in water, filtration, removal and oxydation of PFAS. We highlight emerging hybrid treatments to remove PFAS from water. © 2021, The Author(s), under exclusive licence to Springer Nature Switzerland AG
Functional compartmentalization in the hemocoel of insects
, Article Scientific Reports ; Volume 9, Issue 1 , 2019 ; 20452322 (ISSN) ; Aviles, J ; Adjerid, K ; Schoenewald, C ; Socha, J. J ; Sharif University of Technology
Nature Publishing Group
2019
Abstract
The insect circulatory system contains an open hemocoel, in which the mechanism of hemolymph flow control is ambiguous. As a continuous fluidic structure, this cavity should exhibit pressure changes that propagate quickly. Narrow-waisted insects create sustained pressure differences across segments, but their constricted waist provides an evident mechanism for compartmentalization. Insects with no obvious constrictions between segments may be capable of functionally compartmentalizing the body, which could explain complex hemolymph flows. Here, we test the hypothesis of functional compartmentalization by measuring pressures in a beetle and recording abdominal movements. We found that the...
Linear index coding via graph homomorphism
, Article Proceedings - 2014 International Conference on Control, Decision and Information Technologies, CoDIT 2014 ; 2014 , pp. 158-163 ; ISBN: 9781479967735 ; Siavoshani, M. J ; Sharif University of Technology
2014
Abstract
In [1], [2] it is shown that the minimum broadcast rate of a linear index code over a finite field Fq is equal to an algebraic invariant of the underlying digraph, called minrankq. In [3], it is proved that for F2 and any positive integer k, minrankq(G) ≤ k if and only if there exists a homomorphism from the complement of the graph G to the complement of a particular undirected graph family called 'graph family {Gk}'. As observed in [2], by combining these two results one can relate the linear index coding problem of undirected graphs to the graph homomorphism problem. In [4], a direct connection between linear index coding problem and graph homomorphism problem is introduced. In contrast to...
Emerging OCDMA communication systems and data networks [electronic resource]
, Article Journal of Optical Networking ; Volume 6, Issue 9, 1 September 2007, Pages 1138-1178 ; Sharif University Of Technology
Abstract
I present an in-depth review of the trends and the directions taken by researchers worldwide in optical code-division multiple-access (OCDMA) systems. I highlight those trends and features that I believe are essential to the successful introduction of various OCDMA techniques in communication systems and data networks in the near future. In particular I begin by giving a comprehensive review of the construction of optical orthogonal codes (OOCs). Specifically I discuss the recently developed algorithms that are based on matrix algebra, which simplify and enhance the efficiencies of algorithms in OOC generation. In communication systems studies I first focus on and discuss various OCDMA...
Network delay analysis of a (σ, ρ) - Regular traffic stream over multiple paths in a network of fair-queuing servers
, Article 2013 Iran Workshop on Communication and Information Theory ; May , 2013 , Page(s): 1 - 6 ; 9781467350235 (ISBN) ; Golestani, S. J ; Sharif University of Technology
2013
Abstract
In this paper, we analyze the worst-case delay performance of a network of fair queuing servers in case of multiple-paths between source-destination pairs. In order to develop worst-case delay analysis for the multiple-path scenario, two challenging events should be addressed: merging different sub-streams of a session as well as distributing a traffic stream among different paths (traffic partitioning). Specifically, we propose to merge incoming sub-streams of a session to a node according to a limited rate Fair Queuing (FQ) scheme. Although the merged stream is treated as a unity, this approach results in a guaranteed level of service to each sub-stream. In addition, an algorithm is...
Effects of tool rake angle and tool nose radius on surface quality of ultraprecision diamond-turned porous silicon
, Article Journal of Manufacturing Processes ; Volume 37 , 2019 , Pages 321-331 ; 15266125 (ISSN) ; Akbari, J ; Yan, J ; Sharif University of Technology
Elsevier Ltd
2019
Abstract
This paper presents an investigation of the effects of tool rake angle and nose radius on the surface quality of ultraprecision diamond-turned porous silicon. The results showed that as rake angle decreases, the high-stress field induced by the tool edge increases, causing microcracks to propagate extensively near the pore walls. As a result, the ductile-machined areas shrank under a negative tool rake angle. On the other hand, brittle fracture occurred around pores released cutting pressure significantly. These trends of rake angle effects are distinctly different from those in the cutting of non-porous silicon. Finite element simulation of stress in the cutting area agreed with the...