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    Evaluation of sample scale effect on geomechanical tests

    , Article Petroleum Research ; Volume 7, Issue 4 , 2022 , Pages 527-535 ; 20962495 (ISSN) Kashfi, M ; Shad, S ; Zivar, D ; Sharif University of Technology
    KeAi Publishing Communications Ltd  2022
    Abstract
    The size of the rock specimen affects the stress concentrates in the vicinity of the top/bottom of the rock specimen during the evaluation of the geomechanical parameters in the laboratory, which causes unreliable results. However, the appropriate size for geomechanical evaluation is not well understood yet because of limitations in the sampling and analysis. In this study, a series of numerical simulations using a finite element package was conducted to investigate the effect of sample aspect ratio, fluid saturation, and porosity, on the mechanical behavior of the rock under elastic and poroelastic conditions. In addition, two concepts, stress/strain homogeneity index (SHI) and... 

    A new lateral load pattern for optimum design of concrete structures using the wave propagation theory

    , Article Structures ; Volume 40 , 2022 , Pages 581-595 ; 23520124 (ISSN) Khaaloo, A ; Omidi, H ; Sharif University of Technology
    Elsevier Ltd  2022
    Abstract
    The current design procedure known as Force-Based Design (FBD) method, generally, does not lead to uniform distribution of drift, hysteretic energy, and ductility demands (or structural damage) along the height of the moment frames under strong earthquakes and these performance parameters can be much higher and concentrate damage on one or more of the lower structural stories. This paper presents an iterative wave propagation (WP) based technique to calculate the seismic nonlinear response of multistory buildings as an extension of the layered soil media, founded on bedrock and subjected to vertically propagating shear waves, which leads to the introduction of a new Lateral Load Pattern... 

    Reactive Market Power Indices Analysis

    , M.Sc. Thesis Sharif University of Technology Rahmat Samii, Ramin (Author) ; Ranjbar, Ali Mohammad (Supervisor)
    Abstract
    Reactive market power assessment is an important issue for ISOs and the regulators of the reactive power market. Due to the localized characteristics of reactive power as a technical support and its monopsonistic nature as an economic commodity, a vivid reactive market power index including market share, demand side and cost is not achieved yet. In this work, the existing market power indices in simple commodity markets and power markets are reviewed. Then the applicable indices to reactive power are introduced. Then, a new reactive market power index is presented which is based on bidding strategy deviation of the GENCOs in two types of simultaneous reactive markets. Considering its... 

    Predicting Stock Index Movement by Maching Learning and Data Mining Techniques Using Financial News and Macroecomic Factors Data

    , Ph.D. Dissertation Sharif University of Technology Mansouri, Naser (Author) ; Modarres Yazdi, Mohammad (Supervisor)
    Abstract
    Nowadays, stock index forecasting has become an important issue for decision makers as well as investors, and such a forcasting is increasingly difficult thanks to multifarious impact of factors. In this regard, machine learning approaches can be used to analyze and predict the stock index and its influencing factors. Such an approach not only provides decision makers to make more becoming decision associated with the monetary and financial sectors of the country, but also allows investors to chose more appropriate portfolio (lower risk) by forecast long-term stock.In this study, we intend to better predict the stock index based on the necessity by examining the economic factors affecting... 

    Productivity Improvement in Mashhad Wheel Manufacturing Company

    , M.Sc. Thesis Sharif University of Technology Hafezi Mashhadi, Mohammad (Author) ; Mostofi (Supervisor)
    Abstract
    The present study, which is about practical methods of improving productivity in Mashhad ring factory, is presented in five chapters. In the foreword, the need for an attitude to improve productivity at the national level as well as in industry has been mentioned and has laid the groundwork for starting a discussion of productivity and practical solutions to improve it. In the first chapter, by defining productivity, considers the different perceptions of societies about productivity and finally deals with misconceptions about the concept of productivity. In the second chapter, based on committed articles from the American Society of Industrial Engineering, discusses the role of industrial... 

    Machine Learning Models for Estimating House Prices

    , M.Sc. Thesis Sharif University of Technology Sharifi, Mohammad (Author) ; Kashani, Hamed (Supervisor)
    Abstract
    Optimal use of available resources for construction projects depends on proper decision-making on how to spend resources. Optimization of resource consumption should be done taking into account project revenue. In this regard, investors need a suitable mechanism to predict the selling price of the construction project and the resulting profit. Therefore, investors and stakeholders need a suitable model with the help of which they can make decisions such as choosing materials to guarantee the desired profit from the sale. This research will provide a framework for constructing models for estimating the price of residential units by considering some features of the building and some economic... 

    Forecasting the Possibility of Agricultural Drought using Markov Chain Based on Satellite data and Standard Precipitation Index

    , M.Sc. Thesis Sharif University of Technology Kolahdouzan, Mohammad Ehsan (Author) ; Abrishamchi, Ahmad (Supervisor)
    Abstract
    In comparison with flood, drought is a phenomenon that happens gradually and causes significant changes in water resources, environmental and economic damages specially farming. Due to random features of involving factors in occurrence and intensity of drought, it is assumed as a random process. Drought forecast has an important role in water resources management and control. Data validation, in drought forecast, is a matter of utmost importance. In recent years, satellite data is a type of data that has been used. Markov chain has been used here because one of the features of this method is that occurrence of each variable in current stage is dependent on its previous stage. On the other... 

    The Effect of Price Shock Diffusion in Tehran Housing Market

    , M.Sc. Thesis Sharif University of Technology Abolhelm, Hamid Reza (Author) ; Talebian, Masoud (Supervisor) ; Joshaghani, Hossein (Supervisor)
    Abstract
    Due to the fluctuations of macro-economic factors, Tehran’s housing market has experienced several nominal price shocks. We aim to find a method to study the spatiotemporal dispersion of the shock, the center for this shock (if one exists), and the shock diffusion in Tehran’s housing market. There are similar studies in different geographical locations, but almost all of them have focused on shock dispersion across regions and states rather than within a city. While there are a bulk of the studies to construct a usable House Price Index in Iran and the effect of macro-economic factors on house prices, a similar study was yet to be done for a specific city or across wider regions in the... 

    Effects of Oil on the Russian Capital Market-Case of Russia-Ukraine War

    , M.Sc. Thesis Sharif University of Technology Akbarzadeh, Alireza (Author) ; Talebian, Masoud (Supervisor) ; Haghba’ail, Mehdi (Supervisor)
    Abstract
    We investigate the effect of the war between Russia and Ukraine on the capital market indexes of Russian through the intermediate variable of oil price. We use the Moscow Stock Exchange for the capital market, and OPEC and West Texas Intermediate for the oil price. We apply the two-factor asset pricing model, the results of which are based on the data of the years 2020 to 2021 (before the war) and during the year 2021 (during the war). Our results show that, with a few exceptions, the price of oil does not have a significant effect on the capital market indexes of the Moscow Stock Exchange. The event of the war within less than a year has been able to change the existing significant... 

    Controllable single-mode random laser using stimulated Raman gain

    , Article Optics Letters ; Vol. 39, issue. 15 , August , 2014 , pp. 4537-4540 ; ISSN: 01469592 Shojaie, E ; Mirzaei, A ; Bahrampour, A ; Sharif University of Technology
    Abstract
    The present study demonstrates numerically a novel approach to perform a controllable single-mode random laser, using stimulated Raman gain. Due to the narrow linewidth of the Raman line shape, only one of the modes of the passive random system can lase. The robust control on the emission spectrum was achieved through the selection of any desired quasi-modes, by adjusting the pump wavelength in order to place the center of Raman line shape on desired quasi-modes. This approach was proved using a developed nonlinear transfer matrix method for a 1D Raman random system. The proposed method includes the Raman gain saturation and the frequency-dependent index of refraction  

    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 Ebrahimi, J. B ; Siavoshani, M. J ; Sharif University of Technology
    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... 

    Nationwide prediction of drought conditions in Iran based on remote sensing data

    , Article IEEE Transactions on Computers ; Vol. 63, issue. 1 , Jan , 2014 , p. 90-101 ; 0018-9340 Jalili, M ; Gharibshah, J ; Ghavami, S. M ; Beheshtifar, M ; Farshi, R ; Sharif University of Technology
    Abstract
    Iran is a country in a dry part of the world and extensively suffers from drought. Drought is a natural, temporary, and iterative phenomenon that is caused by shortage in rainfall, which affects people's health and well-being adversely as well as impacting the society's economy and politics with far-reaching consequences. Information on intensity, duration, and spatial coverage of drought can help decision makers to reduce the vulnerability of the drought-affected areas, and therefore, lessen the risks associated with drought episodes. One of the major challenges of modeling drought (and short-term forecasting) in Iran is unavailability of long-term meteorological data for many parts of the... 

    Creation of artificial surface conductivity on metallic metamaterials

    , Article Journal of Lightwave Technology ; Volume 30, Issue 12 , February , 2012 , Pages 1789-1794 ; 07338724 (ISSN) Edalatipour, M ; Khavasi, A ; Rezaei, M ; Mehrany, K ; Sharif University of Technology
    2012
    Abstract
    Metal films with a periodic arrangement of cut-through slits are studied to show that artificial surface conductivity is created at the flat interface between the periodic slits and the cover/substrate. The presence of surface conductivity when the periodic structure is modeled by an effective refractive index can describe how non-specular higher diffracted orders affect the specular zeroth diffracted order. The magnitude of this surface conductivity is controlled geometrically. The artificial surface conductivity is pure imaginary and thus reactive if all non-specular orders are evanescent. This is usually the case in the low frequency regime. At higher working frequencies when some... 

    Strategy deviation index as a new reactive market power indicator

    , Article IET Conference Publications, 7 November 2010 through 10 November 2010, Agia Napa ; Volume 2010, Issue 572 CP , 2010 ; 9781849193191 (ISBN) Rahmat Samii, R ; Nourizadeh, S ; Ranjbar, A. M ; Sharif University of Technology
    2010
    Abstract
    Reactive market power assessment is an important issue for ISOs and the regulators of the reactive power market. Due to the localized characteristics of reactive power as a technical support and its monopsonistic nature as an economic commodity, a vivid reactive market power index including market share, demand side and cost is not achieved yet. In this paper, a new reactive market power index is presented which is based on bidding strategy deviation of the GENCOs after establishing a uniform price auction reactive market. Not knowing others' offers to ISO, each unit faces a bidding strategy problem that is solved using game theory. Considering its production costs, the unit uses the... 

    Dynamic index coding gain over a complete bi-directional side information graph

    , Article IWCIT 2016 - Iran Workshop on Communication and Information Theory, 3 May 2016 through 4 May 2016 ; 2016 ; 9781509019229 (ISBN) Hadi, M ; Mojahedian, M. M ; Aref, M. R ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2016
    Abstract
    Dynamic Index coding as a generalization of the traditional index coding problem, deals with transmission of some dynamic data flows in the presence of side information. For a dynamic index coding system, the set of average flow rates for which the system can be stable is named Code-Constraint Capacity region. In this paper, we identify the code-constraint capacity region for a dynamic index coding problem with complete bi-directional side information graph. Furthermore, we introduce the concept of Dynamic Index Coding Gain to quantify the improvement resulted from the dynamic index coding with respect to uncoded transmissions. We also provide some corollaries about system performance... 

    Three-dimensional numerical simulation of a novel electroosmotic micromixer

    , Article Chemical Engineering and Processing: Process Intensification ; Volume 119 , 2017 , Pages 25-33 ; 02552701 (ISSN) Shamloo, A ; Madadelahi, M ; Abdorahimzadeh, S ; Sharif University of Technology
    Elsevier B.V  2017
    Abstract
    Lab-on-a-chip (LOC) systems have been widely used in chemical and medical analyses. In this study, a novel T-shaped electroosmotic micromixer was simulated and the effects of different parameters on the mixing process were examined. These parameters include; inlet angle, number of conducting hurdles, arrangements of the hurdles, geometry of hurdles and chambers, aspect ratios of the channel cross-sectional profile, hurdle radius, and depth. It was found that the inlet angle has a direct influence on mixing index (σ). The effect of various number of hurdles (one, two, three and four hurdles) and their orientations was investigated. Simulations revealed that using two conducting hurdles is the... 

    A general framework for voltage sag performance analysis of distribution networks

    , Article Energies ; Volume 12, Issue 14 , 2019 ; 19961073 (ISSN) Safdarian, A ; Fotuhi Firuzabad, M ; Lehtonen, M ; Sharif University of Technology
    MDPI AG  2019
    Abstract
    The proliferation of more sensitive loads has obliged distribution companies to pay greater attention to the voltage sag mitigation potential of different design alternatives in network planning studies. In doing so, a company has to have effective tools for estimating the voltage sag performance of its network. In this regard, this paper establishes a three-step framework for evaluating voltage sag performance of a distribution network. The first step, designated as state selection, is to select a network state in which voltage sag is likely. Although voltage sags have various causes, those that originated from faults in distribution networks are considered in this paper. The stochastic... 

    Vehicle identification sensors location problem for large networks

    , Article Journal of Intelligent Transportation Systems: Technology, Planning, and Operations ; Volume 23, Issue 4 , 2019 , Pages 389-402 ; 15472450 (ISSN) Hadavi, M ; Shafahi, Y ; Sharif University of Technology
    Taylor and Francis Inc  2019
    Abstract
    Finding the optimal location for sensors is a key problem in flow estimation. There are several location models that have been developed recently for vehicle identification (ID) sensors. However, these location models cannot be applied to large networks because there are many constraints and integer variables. Based on a property of the location problem for vehicle ID sensors, given the initial vehicle ID sensors that are pre-installed and fixed on the network, this article presents a solution that greatly reduces the size of this location problem. An applied example demonstrates that when 8% of the arcs from a real network that are randomly selected have a vehicle ID sensor, the reductions... 

    Tunable wide-band graphene plasmonic nano-color-sorter: Application in scanning near-field optical microscopy

    , Article Journal of the Optical Society of America B: Optical Physics ; Volume 36, Issue 2 , 2019 , Pages 435-442 ; 07403224 (ISSN) Heydarian, H ; Yazdanfar, P ; Shahmansouri, A ; Rashidian, B ; Sharif University of Technology
    OSA - The Optical Society  2019
    Abstract
    Tunability of the Fermi level of graphene is exploited to implement a plasmonic nano-color-sorter for scanning near-field optical microscope (SNOM) applications capable of handling large tip sample couplings. Nano-color-sorting has been used in SNOM through creating multiple spatially separated hot spots for different incident wavelengths. We show that in the presence of high-refractive-index samples an unwanted redshift in the spectral response of the dual-color probe occurs. This limitation can be compensated for using graphene and adjusting its chemical potential to obtain a blueshift in probe spectral response. The Method of Moments analysis technique is employed to engineer the probe... 

    Improving fracture and moisture resistance of cold mix asphalt (CMA) using crumb rubber and cement

    , Article Road Materials and Pavement Design ; 2020 Daneshvar, D ; Motamed, A ; Imaninasab, R ; Sharif University of Technology
    Taylor and Francis Ltd  2020
    Abstract
    Due to environmental and economic advantages, cold mix asphalt (CMA) can be considered as a good alternative to conventional hot mix asphalt (HMA). Nevertheless, it has inferior performance compared to HMA, so that the application of CMA is not recommended in the surface layer of pavements subjected to high traffic volume and/or regions with very cold or hot climate. Considering the high potential of distress occurring in the CMAs, this research is aimed at investigating the effect of crumb rubber (CR) on fracture and moisture damage resistance of the CMAs. Different CR percentages were applied through two different modification methods and, then by means of Semi-Circular Bending (SCB) test,...