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    Proposed Method for Selecting the Most Suitable Contractor Using Risk Analysis

    , M.Sc. Thesis Sharif University of Technology Shakiba Zahed, Hadi (Author) ; Mortaheb, Momamad Mehdi (Supervisor)
    Abstract
    At present, with some exceptions, the contracts are awarded based on the least proposed price. The records show that this method has not been successful especially for the infrastructure projects. In other words the projects awarded this way have been completed with time and cost overruns. Most of the times, such projects have not satisfied the stakeholders' expectations or have had problems during operation phase. The goal of this research is to suggest a method for selecting the most suitable contractor, considering the proposed price as well as incorporating the delay and other risks based on Contractors' actual past performance in the completed projects. Before selecting the Contractor,... 

    The effect of conductivity on current distribution in the Hull cell

    , Article Plating and Surface Finishing ; Volume 89, Issue 1 , 2002 , Pages 50-52 ; 03603164 (ISSN) Ghorbani, M ; Sharifabadi, Sh. A ; Zahed, M. N ; Sharif University of Technology
    2002
    Abstract
    In this study, current distribution data were obtained from a controlled variation of electrolyte conductivity, using a 267 mL Hull cell. Current distribution measurement was made using a sectioned electrode. The current density for each strip was calculated by measuring the weight gain of the strips during plating and applying Faraday's Law. Finally, the Hull cell formula was derived by plotting the regression line for current density versus average logarithmic distance along the segmented Hull cell panel. Three systems were studied: acid sulfate copper, all-chloride nickel, and all-chloride zinc. We found that the solution conductivity affects the current distribution. As the conductivity... 

    Determination of Strain Dependent Dynamic Parameters of Unsaturated a Silty Soil During Drying path using Resonant Column-Torsional Shear Device

    , M.Sc. Thesis Sharif University of Technology Zahed Kameh Olya, Vahid (Author) ; Haeri, Mohsen (Supervisor)
    Abstract
    Shear modulus and damping ratio are the most important parameters for evaluating the performance of geotechnical systems under seismic and dynamic loads. According to the definition, secant shear modulus is the slope of the hysteresis shear stress-shear strain loop and damping ratio indicates the dissipation of wave energy during propagation in the soil. These parameters depend on stress state, shear strain and void ratio of the soil. Shear strain amplitude has an important effect on the behavior of shear modulus and damping ratio and it is necessary to study the behavior of these parameters in the range of small to large strains. In addition to dynamic loading, climate change and wet and... 

    Determination and prioritization of criteria to design urban energy resilience conceptual model (Part 1)

    , Article International Journal of Environmental Science and Technology ; Volume 19, Issue 5 , 2022 , Pages 3593-3606 ; 17351472 (ISSN) Mohaghegh Zahed, L ; Abbaspour, M ; Ghodoosi, J ; Sharifi, A ; Sharif University of Technology
    Springer Science and Business Media Deutschland GmbH  2022
    Abstract
    Nowadays, around 70% percent of global energy usage is consumed in urban areas. Undoubtedly, this figure will increase in coming decades due to population rise. As a result, energy resiliency can be considered as an important issue in urban context. Resilience of energy supply in urban areas can be categorized in two approaches, short-term and long-term. Short-term applies to cope with threats such as earthquakes and floods, and long-term applies to deal with impacts of climate change on global warming. In this study, literature review was applied to design questionnaire for expert survey, followed by Fuzzy analytic hierarchy process method to categorize 34 sub-criteria divided under four... 

    Partially stabilization of Zirconia and its effects on the Magnesia - Spinel refractory properties

    , Article UNITECR '05 - Unified International Technical Conference on Refractories: 9th Biennial Worldwide Congress on Refractories, Orlando, FL, 8 November 2005 through 11 November 2005 ; 2006 , Pages 715-721 ; 1574982656 (ISBN) Kazemi, A ; Nemati, Z. A ; Faghihi Sani, M. A ; Zahed, F ; Sharif University of Technology
    2006
    Abstract
    In this research, Magnesia Spinel refractories were formulated by using sintered magnesia, Tabular and Calcined Alumina and sintered Spinel. The grain size distribution of raw materials was modified, using the Andreessen equation. In order to improve the physical and mechanical properties and corrosion resistance of specimens, none stabilized Zirconia was added to the system. The pressed samples were sintered at 1700°C and the properties were evaluated at room and high temperatures. The formed phases and resultant microstructure were also, analyzed by XRD and SEM. The corrosion test was conducted in two parts. First, the depth of corrosion was measured in two zone, within 0-1mm and 1-2 mm... 

    Investigating Geometric Proximity Problems on Moving Points

    , M.Sc. Thesis Sharif University of Technology Rahmati, Zahed (Author) ; Zarei, Alireza (Supervisor)
    Abstract
    An interesting theoretical and practical set of problems in computer science is concerned with the study of spatial relations among objects in a geometric space. Examples of such problems for a set of points P are finding the closest pair of the points P, partitioning space into regions such that all points of a region have minimum distance to the same point in P, and computing the Euclidean minimum spanning tree on P. Moreover, we need mechanisms to efficiently update these properties when the points P are allowed to move or may be inserted or deleted. This is to avoid re-computation of these properties from scratch. Here, we consider the Euclidean minimum spanning tree (EMST) of a set of... 

    Control of Two Degree of Freedom Underactuated Systems

    , M.Sc. Thesis Sharif University of Technology Rahmati, Rahman (Author) ; Namvar, Mehrzad (Supervisor)
    Abstract
    In robotic, Underactuated systems are interesting subject to study. Underactuated system, is a system that have fewer actuator than degrees of freedom. Underactuated systems are composed of active and passive joints. passive joints are existed, in order to decrease the weight, cost, and energy consumption. Usually, control of these systems are difficult. Underactuated systems have acceleration constraint. This property make the control method have fundamental constraint. So that controller dynamic could not be a smooth function of states of system. So most of standard method in control, such as feedback linearization, are not applicable. Local linearizing methods, because of... 

    Kinetic Euclidean minimum spanning tree in the plane

    , Article Journal of Discrete Algorithms ; Volume 16 , October , 2012 , Pages 2-11 ; 15708667 (ISSN) Rahmati, Z ; Zarei, A ; Sharif University of Technology
    Elsevier  2012
    Abstract
    This paper presents a kinetic data structure (KDS) for maintenance of the Euclidean minimum spanning tree (EMST) on a set of moving points in 2-dimensional space. For a set of n points moving in the plane we build a KDS of size O(n) in O(nlogn) preprocessing time by which the EMST is maintained efficiently during the motion. This is done by applying the required changes to the combinatorial structure of the EMST which is changed in discrete timestamps. We assume that the motion of the points, i.e. x and y coordinates of the points, are defined by algebraic functions of constant maximum degree. In terms of the KDS performance parameters, our KDS is responsive, local, and compact. The... 

    Kinetic Euclidean minimum spanning tree in the plane

    , Article Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ; Volume 7056 LNCS , 2011 , Pages 261-274 ; 03029743 (ISSN) ; 9783642250101 (ISBN) Rahmati, Z ; Zarei, A ; Sharif University of Technololgy
    2011
    Abstract
    This paper presents the first kinetic data structure (KDS) for maintenance of the Euclidean minimum spanning tree (EMST) on a set of n moving points in 2-dimensional space. We build a KDS of size O(n) in O(nlogn) preprocessing time by which their EMST is maintained efficiently during the motion. In terms of the KDS performance parameters, our KDS is responsive, local, and compact  

    Escort patterns in Dual-worker households with Students: A Comparison between Individual and Group Decision Making Mechanism

    , M.Sc. Thesis Sharif University of Technology Rahmati, Yalda (Author) ; Samimi, Amir (Supervisor)
    Abstract
    Individuals have been regarded as independent decision makers in the majority of transportation analysis. However, individual behaviors are usually affected by the interactions between the members in group decisions; and consequently, individual decision making paradigm could result in less-accurate predictions. Besides, as the data used for travel demand modeling typically comes from household level surveys, the idea of random sampling holds at household level and not the individual; and therefore, individual information would not be consistent with the theory of the discrete choice models when the household is the actual sampling unit. The present paper aims at modeling the way that... 

    Combinatorial changes of euclidean minimum spanning tree of moving points in the plane

    , Article Proceedings of the 22nd Annual Canadian Conference on Computational Geometry, CCCG 2010, 9 August 2010 through 11 August 2010, Winnipeg, MB ; 2010 , Pages 43-45 Rahmati, Z ; Zarei, A ; Sharif University of Technology
    2010
    Abstract
    In this paper, we enumerate the number of combinatorial changes of the the Euclidean minimum spanning tree (EMST) of a set of n moving points in 2- dimensional space. We assume that the motion of the points in the plane, is defined by algebraic functions of maximum degree s of time. We prove an upper bound of O(n3β2s(n2)) for the number of the combinatorial changes of the EMST, where βs(n)= λs(n)/n and λs(n) is the maximum length of Davenport-Schinzel sequences of order s on n symbols which is nearly linear in n. This result is an O(n) improvement over the previously trivial bound of O(n4)  

    Analysis and design of a cable-driven mechanism for a spherical surgery robot

    , Article 2015 22nd Iranian Conference on Biomedical Engineering, ICBME 2015, 25 November 2015 through 28 November 2015 ; 2015 , Pages 221-226 ; 9781467393515 (ISBN) Rahmati, Z ; Behzadipour, S ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2015
    Abstract
    This paper presents design and analysis of a cabledriven mechanism for a spherical laparoscopy surgical robot manufactured at the Research Center for Science and Technology in Medicine. The design is featured by two types of 'idler pulleys', which allow change of cables' plane of motion in spherical workspace. This robot suffers from back-lash and high friction due to the usage of motor and gear-box in each joint. In order to find a precise and optimal design, the paper studies various designs of cable robots, considering pulleys and cable arrangements, as well as pre-tensioning methods. Final scheme introduces two series of pulleys for each DOF, which transmits power from motors located on... 

    Control tuning of a اeart motion tracking system in off-pump heart surgery

    , Article 5th RSI International Conference on Robotics and Mechatronics, IcRoM 2017, 25 October 2017 through 27 October 2017 ; 2018 , Pages 445-450 ; 9781538657034 (ISBN) Rahmati, Z ; Behzadipour, S ; Sharif University of Technology
    2018
    Abstract
    Design, implementation and experimental evaluation of a classic PID, and a modern Generalized Predictive Control (GPC) for an off-pump heart tracking system were carried out. Following the design and simulation analysis of the controllers, experimental evaluation was conducted on the slave robot of SINA tele-operational surgical system. Results revealed that considering the volatile high-frequency/speed pattern of heart motion, the agility of the controlled system is the most influential factor on its performance. With this in mind, unlike the Ziegler-Nichols-based tuned PID with emphasis on steady-state condition, the PID control with more transient behavior showed a superior performance.... 

    Control tuning of a اeart motion tracking system in off-pump heart surgery

    , Article 5th RSI International Conference on Robotics and Mechatronics, IcRoM 2017, 25 October 2017 through 27 October 2017 ; 2018 , Pages 445-450 ; 9781538657034 (ISBN) Rahmati, Z ; Behzadipour, S ; Sharif University of Technology
    Elsevier  2018
    Abstract
    Design, implementation and experimental evaluation of a classic PID, and a modern Generalized Predictive Control (GPC) for an off-pump heart tracking system were carried out. Following the design and simulation analysis of the controllers, experimental evaluation was conducted on the slave robot of SINA tele-operational surgical system. Results revealed that considering the volatile high-frequency/speed pattern of heart motion, the agility of the controlled system is the most influential factor on its performance. With this in mind, unlike the Ziegler-Nichols-based tuned PID with emphasis on steady-state condition, the PID control with more transient behavior showed a superior performance.... 

    Evaluation of geopolymer concrete at high temperatures: An experimental study using machine learning

    , Article Journal of Cleaner Production ; Volume 372 , 2022 ; 09596526 (ISSN) Rahmati, M ; Toufigh, V ; Sharif University of Technology
    Elsevier Ltd  2022
    Abstract
    Studying the mechanical performance of concrete after being exposed to high temperatures is an important step in the damage assessment of buildings and fire safety applications. However, predicting the compressive strength of GPC accurately after exposure to high temperatures is a challenging task. In this paper, artificial neural network (ANN) and support vector regression (SVR) models were developed to predict the compressive strength of geopolymer concrete (GPC) at high temperatures ranging from 100 °C to 1000 °C. A series of experiments consisting of different mix designs were conducted at elevated temperatures to prepare a dataset. Besides experiments' results, the data of previously... 

    Escort patterns in dual-worker households with students

    , Article Journal of Soft Computing in Civil Engineering ; Volume 5, Issue 1 , 2021 , Pages 62-79 ; 25882872 (ISSN) Rahmati, Y ; Samimi, A ; Sharif University of Technology
    Pouyan Press  2021
    Abstract
    Individuals have been regarded as independent decision makers in majority of transportation analysis. However, agents’ behaviors are usually affected by the interactions among the members in a group; and therefore, individual decision-making paradigms may result in unrealistic outcomes and erroneous interpretations of the results. In light of this, the present study develops discrete choice models in individual and group levels and compares their prediction power in predicting the choice of escort pattern in dual-worker households with at least one under-18-year-old student. The main purpose is to reveal the efficiency of each approach in analyzing parent-child joint activities and highlight... 

    Damage Detection and Health Monitoring of Geopolymer Concrete Using Ultrasound Waves and Machine Learning

    , M.Sc. Thesis Sharif University of Technology Rahmati, Mohammad (Author) ; Toufigh, Vahab (Supervisor)
    Abstract
    The behavior of construction materials at high temperatures has been an important aspect of researches in recent years. The first part of the current research aims to non-destructively monitor the formation and growth of damage at geopolymer concrete (GPC) after being exposed to high temperatures using linear and nonlinear ultrasonic techniques. Ultrasonic waveform and pulse velocity (UPV) tests were conducted on the specimens before and after exposure to the temperatures. Nonlinear wave signals were processed in phase-space domain for qualitative health monitoring of GPC. Furthermore, feature extraction was applied to phase-plane attractors using fractal dimension for quantitative... 

    A Novel Model For Financial Fraud Detection Using Machine Learning Techniques

    , M.Sc. Thesis Sharif University of Technology Rahmati, Mahdieh (Author) ; Khedmati, Majid (Supervisor)
    Abstract
    Today, e-commerce systems are used by both types of users. Therefore, the systems will be exposed to systematic fraud, and fraud is one of the main sources of financial losses for organizations. Therefore, it is very important for organizations to use accurate methods to detect fraud. this field is one of the most important applications of data mining in finance. There are various challenges in fraud detection projects, and this research has divided these challenges into three categories, which are: data pre-processing due to the imbalance data set, the accuracy of the machine learning model, and uncertainty. In the first part, both oversampling and undersampling methods will be used in... 

    Context-based Persian Grapheme-to-Phoneme Conversion using Sequence-to-Sequence Models

    , M.Sc. Thesis Sharif University of Technology Rahmati, Elnaz (Author) ; Sameti, Hossein (Supervisor)
    Abstract
    Many Text-to-Speech (TTS) systems, particularly in low-resource environments, struggle to produce natural and intelligible speech from grapheme sequences. One solution to this problem is to use Grapheme-to-Phoneme (G2P) conversion to increase the information in the input sequence and improve the TTS output. However, current G2P systems are not accurate or efficient enough for Persian texts due to the language’s complexity and the lack of short vowels in Persian grapheme sequences. In our study, we aimed to improve resources for the Persian language. To achieve this, we introduced two new G2P training datasets, one manually-labeled and the other machine-generated, containing over five million... 

    A Novel Resource Allocation Algorithm in Edge Computing with Deep Reinforcement Learning

    , M.Sc. Thesis Sharif University of Technology Rahmati, Iman (Author) ; Movaghar, Ali (Supervisor)
    Abstract
    With the explosion of mobile smart devices, many computation intensive applications have emerged, such as interactive gaming and augmented reality. Mobile edge computing (EC) is put forward, as an extension of cloud computing, to meet the low-latency require- ments of the applications. In mobile edge computing systems, an edge node may have a high load when a large number of mobile devices offload their tasks to it. those offloaded tasks may experience large processing delay or even be dropped when their deadlines expire. Due to the uncertain load dynamics at the edge nodes, it is challenging for each device to determine its offloading decision (i.e., whether to offload or not, and which...