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yaghoobi-zanjani--majid
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Total 230 records
Scheduling the Group Stage of the FIFA World Cup (New Format)
,
M.Sc. Thesis
Sharif University of Technology
;
Rafiee, Majid
(Supervisor)
Abstract
The 2026 FIFA World Cup, as the first edition of this event with a format of twelve groups of four teams and co-hosting by the United States, Canada, and Mexico, introduces new complexities in scheduling due to the increased number of teams, matches, and geographical distances between host cities. This study focuses on modeling and solving two main problems: (1) scheduling the dates and venues of the group stage matches, and (2) determining the kick-off times of these matches. The objectives of the models include meeting fairness criteria such as the simultaneous scheduling of the last round of group matches between teams in the same group, minimizing the differences in rest days between...
Design of A Digitally Controlled Bias Chip For A Transceiver
, M.Sc. Thesis Sharif University of Technology ; Medi, Ali (Supervisor) ; Sheikhaei, Samad (Supervisor)
Abstract
Advances in IC fabrication makes possible have systems on chips. In this thesis we have designed and fabricated a digitally controlled bias chip for a transceiver which can be programmed by its digital interface. In this thesis, briefly we review basics of voltage regulators and methods for controlling them. Then we introduce high voltage 0.18um CMOS technology. In this thesis, we describe the requirements of a specific transceiver and present a system to overcome these requirements. This system has positive, negative and internal regulators, a five-bit analog to digital converter, temperature sensors, power amplifier controller and digital serial interface. In this thesis, we present a...
Factors affecting platinum extraction from used reforming catalysts in iodine solutions at temperatures up to 95 °C
, Article Hydrometallurgy ; Volume 97, Issue 1-2 , 2009 , Pages 119-125 ; 0304386X (ISSN) ; Baghalha, M ; Sharif University of Technology
2009
Abstract
Platinum extraction from the spent reforming catalysts in iodine-iodide solutions at temperatures from 25 to 95 °C was investigated. The reforming catalyst mostly consists of a porous gamma alumina support with metallic platinum finely dispersed on the walls of the nano-pores of the catalyst support. The effect of a variety of factors, including catalyst particle size, impeller agitation speed, reactant concentrations, liquid to solid mass ratio, temperature and the solution pH on the Pt extraction rate and recovery were investigated. It was found that the catalyst particle sizes less than 106 μm and impeller agitation speed higher than 700 rpm eliminated the effects of catalyst size and...
Direct Torque Control in Brushless Doubly-Fed Induction Motor
, M.Sc. Thesis Sharif University of Technology ; Kaboli, Shahriyar (Supervisor)
Abstract
Common induction motors are controlled with the stator voltage and so all the power passes throw the converter. In the Brushless Doubly-fed Induction Motor (BDFM) a converter with smaller size and lower cost can be used. Also its brushless operation and cage rotor are advantages in comparison with doubly-fed induction motors with rotor excitation. Direct Torque Control is a method to control induction motors. Its advantages include fast responses to flux and torque commands, not requiring to know machine parameters except winding resistors, and easy implementation. In this thesis application of this method to control the BDFM is studied. At the first, electromagnetic mechanism and coupling...
Stress-Based Topology Optimization of Multi-Material Structures with Convolutional Neural Networks
, M.Sc. Thesis Sharif University of Technology ; Asghari, Mohsen (Supervisor)
Abstract
In this study, a novel approach is proposed for analyzing multi-material topology optimization problems with stress constraints. Instead of interpolating the stress tolerance of materials, the proposed method divides the stress exerted on each finite element among the existing materials within the element and directly compares it with the stress tolerance of each material. This method not only reduces computational load but also effectively prevents the occurrence of stress singularity phenomena. To evaluate the effectiveness of the proposed method, two problem formulations were investigated. In the first formulation, the structure's mass is considered as the objective function, with stress...
Mesoscale finite element prediction of concrete failure
, Article Computational Materials Science ; Volume 50, Issue 7 , 2011 , Pages 1973-1990 ; 09270256 (ISSN) ; Hosseini, M ; Yaghoobi, M ; Sharif University of Technology
2011
Abstract
The present paper studies the failure of concrete from the mesoscopic point of view. Biphasic cubic concrete samples containing spherical aggregates embedded in a homogenized mortar have been simulated using standard finite element method. Linear elasticity and damage-plasticity hypotheses are considered for the aggregates and mortar, respectively. Various triaxial loading conditions are assumed for each sample to generate adequate discrete failure points within the stress space. In the next step, the approximated failure surfaces of specimens are constructed using the Delaunay triangulation technique. The effects of mesostructural features such as aggregate grading curve, aggregate...
Numerical Investigation of Stress Absorbing Membrane Interlayer
, M.Sc. Thesis Sharif University of Technology ; Motamed, Arash (Supervisor)
Abstract
Stress Absorbing Membrane Interlayer (SAMI) is a slightly thin layer made of bitumen and aggregate placed between a pavement with limited cracking and overlay in order to avoid reflective cracking in overlay. SAMI’s performance depends on many factors such as pavement layer’s materials and thickness and existing pavement’s condition. Numerical simulations are powerful tools to evaluate SAMI’s performance. Previous studies showed that construction of SAMI does not necessarily reduce reflective cracking. This research investigated the effect of different parameters on SAMI’s performance using numerical simulations. The focus of this study was on the performance of SAMIs used between asphalt...
Entrepreneur Perceived Authentic Leadership Effect on Venture Success
, M.Sc. Thesis Sharif University of Technology ; Kiamehr, Mahdi (Supervisor)
Abstract
Innovative applicable ideas, are driving engine for technological enhances (developments), that are made in mind of entrepreneurs, inventors, and initiators; and with their serious follow up in the form of new business, reaches to successful outcome and the concept of entrepreneurship commences. But most of these entrepreneurs are brainy young graduates without experience in three main factors for success that is, management knowledge and experience, sufficient financial resources, connection with market and customer in competitive market. Nowadays venture capitals who lean over their precious intuition, with accepting computable or incomputable risks, actively accompany entrepreneurs and...
Traffic Engineering Design in Software-Defined Networks with Big Flow Applications
, M.Sc. Thesis Sharif University of Technology ; Akbari, Behzad (Supervisor)
Abstract
"Programmable networks" are to facilitate and evolve the computer networks. Specifically, Network Defined Software (SDN) is an advanced and innovative solution in the new computer network in which the hardwares are completely independent of the control and decision regarding data transfer. Based on this logic, network management becomes much simpler and enables innovation and new solutions for different parts of the network. In SDN, the program or network intelligence is logically present in software-based controllers (on the control panel) and can be changed and programmed, and network devices are converted into network packet sending hardware (on the data page) through an interface, Such...
Software Defect Prediction in Object-Oriented Web Applications using Deep Learning
, M.Sc. Thesis Sharif University of Technology ; Habibi, Jafar (Supervisor)
Abstract
In this thesis, a method for predicting software defects in object-oriented web applications using deep learning is presented. Due to the increasing complexity of web-based software, such as e-commerce systems and financial businesses, maintaining the quality and reliability of these programs is of great importance. Software defects in such environments can lead to security problems, financial losses and loss of reputation of organizations. Therefore, an efficient method to predict and identify defects in the early stages of software development can help improve quality and reduce software development and maintenance costs. The proposed model in this research is a combination of...
The Impact of AV and CAV Vehicles on Capacity and Traffic Flow with Cooperative Lane changing in Mixed Traffic Environment
, M.Sc. Thesis Sharif University of Technology ; Nassiri, Habibollah (Supervisor)
Abstract
Autonomous vehicles, as an integral part of intelligent transportation systems, will play a significant role in the future of transportation services. These vehicles have a high potential to improve road traffic capacity and the efficiency of transportation systems. One type of autonomous vehicle is the connected and autonomous vehicle (CAV), which can communicate with each other, roadside units, traffic control signals, and other infrastructures or devices. This study investigates the impact of autonomous vehicles and connected and autonomous vehicles on the traffic flow of the Tehran-Karaj freeway and vice versa, under various penetration rates and in a mixed traffic environment. In this...
Design of a 2-12-GHz bidirectional distributed amplifier in a 0.18- mu m CMOS technology
, Article IEEE Transactions on Microwave Theory and Techniques ; Volume 67, Issue 2 , 2019 , Pages 754-764 ; 00189480 (ISSN) ; Meghdadi, M ; Yaghoobi, M ; Medi, A ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2019
Abstract
This paper presents the design and implementation of a bidirectional distributed amplifier (BDDA) in a 0.18- boldsymbol mu ext{m} CMOS process. The performance of the BDDA is theoretically analyzed, and the optimum number of gain stages ( n-{ ext {opt}} ), maximum achievable power gain ( G-{P} ), and circuit bandwidth are formulated. In addition, a new formula for proper choice of the number of DA stages (i.e., n ) is offered where dc-power consumption of the circuit ( P-{ ext {dc}} ) is also considered. This formula optimizes G-{P}/P-{ ext {dc}} , and it is preferred over the conventional n-{ ext {opt}} formula. To validate the theoretical analyses, a 2-12-GHz BDDA with high output 1-dB...
The Effects of Intentional Process Models on Goal Modeling and Process Conformance Checking
, M.Sc. Thesis Sharif University of Technology ; Rafiei, Majid (Supervisor) ; Khedmati, Majid (Supervisor)
Abstract
In recent years, requirement engineering and goal modeling have gained more attention among different organisations. Therefore, different methods have been designed to discover stakeholders’ requirements and translate them into process and organizational goals. Various goal models have been introduced to represent these goals and their relations towards each other. Still, these methods are manual representations of different process scenarios and do not relate to the actual behavior. In 2014, Map Miner Method (MMM) was introduced to discover intentional process models from event logs. MMM uses Hidden Markov Model (HMM) as a means to represent the process as a map model of strategies and...
Thermal buckling analysis of piezoelectric functionally graded plates with temperature-dependent properties
, Article Mechanics of Advanced Materials and Structures ; Volume 22, Issue 10 , Nov , 2015 , Pages 864-875 ; 15376494 (ISSN) ; Fereidoon, A ; Khaksari Nouri, M ; Mareishi, S ; Sharif University of Technology
Taylor and Francis Inc
2015
Abstract
In this study, the thermal buckling analysis of hybrid laminated plates made of two-layered functionally graded materials (FGMs) that are integrated with surface-bonded piezoelectric actuators referred to as (P/FGM)s are investigated. Material properties for both substrate FGM layers and piezoelectric layers are temperature-dependent. Uniform temperature rise as a thermal load and constant applied actuator voltage are considered for this analysis. By definition of four new analytic functions, the five coupled governing stability equations, which are derived based on the first-order shear deformation plate theory, are converted into fourth-order and second-order decoupled partial differential...
An interface–particle interaction approach for evaluation of the co-encapsulation efficiency of cells in a flow-focusing droplet generator
, Article Sensors (Switzerland) ; Volume 20, Issue 13 , 2020 , Pages 1-17 ; Saidi, M. S ; Ghadami, S ; Kashaninejad, N ; Sharif University of Technology
MDPI AG
2020
Abstract
Droplet-based microfluidics offers significant advantages, such as high throughput and scalability, making platforms based on this technology ideal candidates for point-of-care (POC) testing and clinical diagnosis. However, the efficiency of co-encapsulation in droplets is suboptimal, limiting the applicability of such platforms for the biosensing applications. The homogeneity of the bioanalytes in the droplets is an unsolved problem. While there is extensive literature on the experimental setups and active methods used to increase the efficiency of such platforms, passive techniques have received less attention, and their fundamentals have not been fully explored. Here, we develop a novel...
A catalyzed method to remove polychlorinated biphenyls from contaminated transformer oil
, Article Environmental Science and Pollution Research ; 2021 ; 09441344 (ISSN) ; Gholipour Zanjani, N ; Khorasheh, F ; Arjmand, M ; Sharif University of Technology
Springer Science and Business Media Deutschland GmbH
2021
Abstract
The disposal of polychlorinated biphenyls (PCBs) as persistent organic pollutants from the environment has been normally performed by isolation from soil or water because of their biological activity and toxic potential. In the present investigation, catalytic hydrodehalogenation was used to detoxify PCBs-contaminated transformer oil. All reactions were directed on an oil containing 11.09 wt% of PCBs utilizing palladium supported on multi-walled carbon nanotubes (Pd/MWCNTs). The amount of hexa-chlorine homologues reduced considerably from 5.07% to less than 800 ppm utilizing HDC at the atmosphere of argon. Moreover, the amounts of long half-lives and bioaccumulative congener of PCB 153...
A catalyzed method to remove polychlorinated biphenyls from contaminated transformer oil
, Article Environmental Science and Pollution Research ; Volume 29, Issue 9 , 2022 , Pages 13253-13267 ; 09441344 (ISSN) ; Gholipour Zanjani, N ; Khorasheh, F ; Arjmand, M ; Sharif University of Technology
Springer Science and Business Media Deutschland GmbH
2022
Abstract
The disposal of polychlorinated biphenyls (PCBs) as persistent organic pollutants from the environment has been normally performed by isolation from soil or water because of their biological activity and toxic potential. In the present investigation, catalytic hydrodehalogenation was used to detoxify PCBs-contaminated transformer oil. All reactions were directed on an oil containing 11.09 wt% of PCBs utilizing palladium supported on multi-walled carbon nanotubes (Pd/MWCNTs). The amount of hexa-chlorine homologues reduced considerably from 5.07% to less than 800 ppm utilizing HDC at the atmosphere of argon. Moreover, the amounts of long half-lives and bioaccumulative congener of PCB 153...
Proposing a Method for Evaluating Cognitive Complexity of Modeling Languages
, M.Sc. Thesis Sharif University of Technology ; Mirian Hosseinabadi, Hassan (Supervisor)
Abstract
Modeling languages are well-known mechanisms for describing the underlying structures in software and many other contexts. In order to use an information technology product to solve a specific problem, such as a modeling language, not only there is a need to cognize the problem and search for its solution, but also it’s necessary to have a correct perception of context and details of modeling language in first place. One of the setbacks that users encounter in perceiving the sense of diagrams and their details is cognitive complexity. Although lots of modeling languages are defined and introduced up to now, but there are no suitable yardsticks to evaluate the cognitive complexity of users...
Kinetic analysis for the interpretation of polychlorinated biphenyls removal mechanism
, Article International Journal of Chemical Kinetics ; Volume 56, Issue 9 , 2024 , Pages 560-567 ; 05388066 (ISSN) ; Gholipour Zanjani, N ; Khorasheh, F ; Ardjmand, M ; Sharif University of Technology
2024
Abstract
Removing polychlorinated biphenyls (PCBs) from subsurface water, soils, and transformer oil is crucial to save the environment from these pollutant materials. Hydrodechlorination (HDC) of PCBs consists of numerous chemical reactions and the simple kinetic models may not provide details for the process. To gain more awareness of the reaction mechanism, in the proposed approach, the isoconversional methods of the Friedman were investigated paralleling other kinetic models of Langmuir-Hinshelwood (L-H), Eley-Rideal (E-R), pseudo-first-order, and pseudo-second-order methods. The analysis was validated by laboratory results of HDC of contaminated transformer oil in front of Pd/MWCNTs. The most...
A Trajectory Recommendation System for Efficient Finding of Passengers
, M.Sc. Thesis Sharif University of Technology ; Khedmati, Majid (Supervisor) ; Rafiee, Majid (Supervisor)
Abstract
Recommending routes to city taxis in order to improve their performance in finding passengers can reduce traffic, pollution and waiting time for passengers, as well as this, increasing the efficiency of taxis can increase their income. In this study, by analyzing trajectory data obtained from 536 taxis in San Francisco over a period of one month, we generated networks of cells, each of which has time-dependent characteristics such as the probability of finding a passenger, the capacity of each cell, or the amount of demand exists is in the cell and the average speed of passing through that cell. also, the connections between these cells in order to make more use of the experiences of taxi...