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    Economic Model Predictive Control with Time Varying Constraints

    , M.Sc. Thesis Sharif University of Technology Iman, Sara (Author) ; Haeri, Mohammad (Supervisor)
    Abstract
    In today's world we are dealing with many devices and processes with the goal of efficiency and performance improvement. In many processes particularly chemical ones, the goal is to control the output according to its constraints in the way that the performance is economically efficient, such as reducing energy consumption and energy loss and increasing efficiency. In order to control a process with economical goals, an economical cost function is used and after determination of optimal values a controller is used to guide the process so can achieve them. Model predictive control (MPC) is very common in this economic control Due to advantages such as considering the problem constraints. In... 

    Effect of Public Transportation on Air Pollution in Tehran: the Case of Metro Network Expansion

    , M.Sc. Thesis Sharif University of Technology Ghotbi, Mohammad Iman (Author) ; Vesal, Mohammad (Supervisor)
    Abstract
    Openings and development of subway system have occurred since 1998 in Tehran, and 115 stations have been constructed from then until 2019. This could have various effects on urban characteristics and passenger behaviors, which air pollution could be one of the consequences. In this research, we want to investigate it`s effect on Tehran air pollution as well as heterogenous effects on different distances. For this, we use air pollution data of monitoring stations and meteorological data as well as location and construction time of metro stations. We use difference in difference and OLS regressions to estimate these causal effects. We see that air pollution has been decreased 2-3% as a result... 

    Examining the Impact of Video Game Developers' Specialization on Their Success in Platform Ecosystems

    , M.Sc. Thesis Sharif University of Technology Gazmeh, Mohammad Reza (Author) ; Miremadi, Iman (Supervisor)
    Abstract
    In this research, we delve into the challenges video game developers encounter when selecting an appropriate genre for their initial video games. The primary objective of this study is to identify the effective strategies enabling video game developers to successfully enter the competitive market. Within this context, 'success' is quantified by sales volumes and download counts. The video game industry is witnessing rapid growth, with its market size reaching $184 billion in 2023, according to Newzoo report. To address these inquiries, the study uses information from three different platforms, gathering data in a thorough way: PC games on Steam, Android mobile games on the Google Play Store,... 

    Estimating Particulate Matter (PM10) Concentration using Satellite data and Meteorological data from Synoptic Stations and WRF in Tehran

    , M.Sc. Thesis Sharif University of Technology Ghotbi, Saba (Author) ; Arhami, Mohammad (Supervisor)
    Abstract
    Detetrmination of particulate matter (PM), as one of the most important pollutants in big cities, requires extensive system of monitoring stations. Remotely sensed atmospheric data due to their large spatial coverage and frequent observations are emerging as an important addition to conventional ground based atmospheric monitoring. In this regards this study presents an approach to analyze the relationship between PM10 (particles with aerodynamic diameter less than 10 μm) and the satellite product of aresol optical depth (AOD), which is the measurement of the extinction of light due to interferences with particulate matter. In the current study AOD is observed by Moderate Resolution Imaging... 

    Multi-Class Object Locating and Recognition

    , M.Sc. Thesis Sharif University of Technology Mostajabi, Mohammad Reza (Author) ; Gholampour, Iman (Supervisor)
    Abstract
    Environment Identification and recognizing surrounding objects is an exigent need in future applications. For example one of the emerging technologies in car industry is driverless cars. In driverless cars, navigation system should be able to detect and recognize pedestrians, traffic signs, roads, surrounding cars and so on. Therefore, conventional single-object recognition systems are not capable of handling the needs of advanced machine vision based applications. In recent years, designing and analyzing multi-class object detection and recognition systems have become a big challenge in machine vision. In this thesis our goal is to identify and analyze the existing problems in designing... 

    Design and Development of Recommendation & Decision Maker Systems Based on Massive Traffic Data Analysis

    , M.Sc. Thesis Sharif University of Technology Safarpour, Alireza (Author) ; Gholampour, Iman (Supervisor) ; Karbasi, Mohammad (Supervisor)
    Abstract
    Data analysis is the science of extracting human-understandable knowledge from data. Massive data analysis is usually associated with the challenges of Volume, Velocity, Variety, Veracity and Value. These challenges are often referred to as 5V. With increasing processing power and reducing its cost in the last decade, massive data analysis methods have been used in various fields such as market, insurance and health, telecommunications and network, web search engines, intelligent transportation, etc. In this dissertation, we have tried to extract applied knowledge by using massive data analysis platforms and algorithms as well as traffic data. In this dissertation, a mathematical model for... 

    Evaluating the Effectiveness of Supportive Innovation Policies on New Technology-Based Firms’ Success in Reaching the Growth Stage

    , M.Sc. Thesis Sharif University of Technology Eshraghi, Alireza (Author) ; Miremadi, Iman (Supervisor) ; Vesal, Mohammad (Supervisor)
    Abstract
    New technology-based firms (NTBFs) are the driving force behind creating innovation and technology in countries and can play a crucial role in job creation and economic growth. These companies also facilitate technology transfer and strengthen the absorptive capacity of national innovation systems. Therefore, given the externalities of these companies, as well as their significant role in promoting innovation, governments around the world implement policies to support these firms. In Iran, the Vice President for Science and Technology has implemented policies to support NTBFs since 2013. Recently, a few studies have been carried out to evaluate these policies. However, the number of these... 

    Investigating the Impact of Key Innovation Variables on the Level of Technological Catch up: A Comparison between High and Middle Income Countries

    , M.Sc. Thesis Sharif University of Technology Fakhimi Jamil, Mohammad Amin (Author) ; Miremadi, Iman (Supervisor)
    Abstract
    Today, innovation plays an essential role in the economic growth of countries. By evaluating technological capabilities, different approaches have considered important effects of innovation on the economic ability and superiority of countries either directly or indirectly. In recent years, the Global Innovation Index (GII) has been employed as a common framework in this respect. It consists of five components, including “institutions,” “human capital and research,” “infrastructure,” “market sophistication,” and “business sophistication,” as the inputs, and two components, including the “knowledge and technology outputs” and “creative outputs” as the outputs of innovation. The present study... 

    Hibert Scheme and Gromov-Witten Invariant

    , M.Sc. Thesis Sharif University of Technology Amini, Kamyar (Author) ; Safdari, Mohammad (Supervisor) ; Setayesh, Iman (Co-Supervisor)
    Abstract
    The aim of these notes is to describe an exciting chapter in the recent development of quantum cohomology. Guided by ideas from physics, a remarkable structure on the solutions of certain rational enumerative geometry problems has been found: the solutions are coefficients in the multiplication table of a quantum cohomology ring. Associativity of the ring yields non-trivial relations among the enumerative solutions. In many cases, these relations suffice to solve the enumerative problem. For example, let $N_d$ be the number of degree $d$, rational plane curves passing through $3d$ − $1$ general points in $\mathbb{P}^2$. Since there is a unique line passing through 2 points, $N_1 = 1$. The... 

    Performance Analysis of Innovation Ecosystems: Case Study of Sharif Innovation District

    , M.Sc. Thesis Sharif University of Technology Varedi Koulaei, Mohammad Ali (Author) ; Miremadi, Iman (Supervisor) ; Vesal, Mohammad (Co-Supervisor)
    Abstract
    With the expansion of knowledge-based economics literature in the last two decades in the country, the analysis and evaluation of the performance of policies applied in this field, especially the concept of innovation and technology ecosystems, is of particular importance. One of the leading branches in this field is the Sharif Innovation District, which is centered on Sharif University of Technology and has always been a important platform for implementing innovative policies in the country. In this research, we analyzed the development of Sharif innovation district. This research is a qualitative research with thematic analysis research method and inductive approach. To carry out the... 

    Automatic Accident Detection in Traffic Monitoring Videos

    , M.Sc. Thesis Sharif University of Technology Amirnia, Ashkan (Author) ; Gholampour, Iman (Supervisor) ; Sharifkhani, Mohammad (Supervisor)
    Abstract
    Over recent years, ever increasing developing computer architecture and computer science made increase ability of computers for data processing and creating intelligent systems without human supervision. One of major and important usages of this systems is automatic supervise and analysis on video scene by image and video processing, machine vision and machine learning techniques. Developing this systems and increasing number of installed surveillance cameras on cities made employment of this systems for supervise on urban traffic events.Automatic number plate recognition, anomaly detection, accident detection, traffic sign detection and recognition and etc are example of Intelligent Traffic... 

    Experimental Analysis of Immiscible Displacements of Heavy Oil in Heterogeneous Porous Media under Ultrasonic Effect

    , M.Sc. Thesis Sharif University of Technology Kanani, Mojtaba (Author) ; Ghotbi, Siroos (Supervisor) ; Ghazanfari, Mohammad Hossein (Supervisor)
    Abstract
    In the recent years, there has been an increasing attention toward usage of ultrasonic for enhanced oil recovery practices. But, thorough knowledge of active mechanisms and spreading and characterization of developed fingers during this practice is not available. From the other hand, due to limited amount of light oil fields, more attentions towards recovery from heavy oils is the need of the hour. Documents show that the big issues during the enhanced oil recovery from heavy crudes are high density of reservoir oil as well as poor development of fingers during injection due to high mobility ratios. In this study, results of ultrasound effect on the heavy oil recovery and its effect on the... 

    Compatibility Analysis of the Acid Injected into the Carbonate Formations With Crude-oil, Formation Water and Acid Additives Through Solid-Liquid Thermodynamics Calculation

    , M.Sc. Thesis Sharif University of Technology Najmedini, Mohammad Reza (Author) ; Ghotbi, Sirous (Supervisor) ; Bazargan, Mohammad (Supervisor)
    Abstract
    Formation acidizing is one of the best well stimulation methods to remove reservoir damage and improve recovery of oil and gas well. The proper design of acidizing operations can significantly improve the production of a formation. In the meantime, causing formation damage and precipitation in oil flowlines, which may be caused by the incompatibility of the stimulation fluid with the reservoir fluid and rocks, is one of the most serious problems in the operation, which reduces permeability and oil/gas production. As a result, the success of the acidizing operation requires to study the interaction of components of operation (acid, reservoir water, formation rock, and acid additive)... 

    Review and Improve the Performance of Video Scene Detection Methods

    , M.Sc. Thesis Sharif University of Technology Mohseni, Hossein (Author) ; Sharif Khani, Mohammad (Supervisor) ; Gholampour, Iman (Co-Advisor)
    Abstract
    Due to the developments in technology, digital equipments, networks, storage devices, a lot of videos have been produced so far. Due to the dayly high growth rate of videos and their data, organizing and managing of them is difficult for applications such as interactive television, digital libraries, video surveillance, etc.However, for these kinds of usage from videos, at first the video will need to decompose into a hierarchical structure such as shot, scene, subscenes, scene and story unit. In order to achieve these goals, after the determination of shot boundaries and the allocation of key frames for each shot, similarity between each two shots are measured using key frames. According to... 

    Value Creation in Content-oriented E-business

    , M.Sc. Thesis Sharif University of Technology Lotfi, Ali (Author) ; Miremadi, Iman (Supervisor) ; Ghafoori, Mohammad Hossein (Co-Supervisor)
    Abstract
    Considering the high growth potential of creative industry as well as the increasing trend of e-business, content-oriented digital business has been the main focus of this research. These enterprises are a subset of the creative industry that are primarily developed in the digital context. After reviewing the literature, it was observed that the keyword "value creation" in this type of business has been less considered by research.On the other hand, in conversations with managers who are active in the industry, a practical vacuum was revealed on how to create value in these firms; Because a comprehensive review of value creation processes in these firms can ultimately lead to more profitable... 

    Relationship Between Feedback-Seeking Motives and Dimensions and Individual Performance in an Iranian Knowledge-Based Organization

    , Ph.D. Dissertation Sharif University of Technology Rabbani, Mohammad Mahdi (Author) ; Alavi, Babak (Supervisor) ; Miremadi, Iman (Supervisor)
    Abstract
    The present study investigates the relationships between feedback-seeking dimensions (frequency, method, timing, and content) and two types of individual performance (goal achievement and behavior-related performance). In addition, the relationships between feedback-seeking motives and feedback-seeking dimensions are examined. The purpose is to identify new explanations for the inconclusive results of the direct relationship between feedback-seeking and performance in the literature. Moreover, this study investigates work motivations based on self-determination theory as the antecedents of feedback-seeking motives. This study contains one qualitative phase and two quantitative ones.... 

    Developing a New Approach for Investigating Relationship of Knowledge Structuration, Technology, and Financial Performance of the Firm

    , M.Sc. Thesis Sharif University of Technology Esfandyarpour, Ali (Author) ; Arasti, Mohammad Reza (Supervisor) ; Miremadi, Iman (Supervisor)
    Abstract
    Knowledge flows across organizational boundaries shape a firm’s knowledge base. Knowledge structuration refers to the two structural dimensions of a firm's knowledge base: Breadth (knowledge across technology domains) and depth (knowledge within technology domains). Despite the conceptual difference between the terms “(technological) knowledge” and “technology”, the two are often used interchangeably in empirical research on technology management. Our paper adopts an innovative approach, taking advantage of Machine Learning and clinical studies conducted by biopharma companies, to offer an empirical way of distinguishing between knowledge and technology. Moreover, we restructure the... 

    Evaluating the Effect of Innovation on Burden of Disease in Different Countries

    , M.Sc. Thesis Sharif University of Technology Rostami, Saleh (Author) ; Miremadi, Iman (Supervisor) ; Saleh Farazi, Mohammad (Co-Supervisor)
    Abstract
    In this comprehensive study, we explore the influence of general health innovation outputs on the burden of diseases across 70 nations spanning two decades, from 2000 to 2019, marking the first investigation of its kind. Our investigation takes into account associations among health-related patents, scholarly publications pertaining to health, and disability-adjusted life years (DALYs), a measure used to assess overall disease burden. Employing a robust fixed effect panel data model, our findings illuminate the notable impact health-related publications exert in mitigating disease burden universally across all countries examined. However, we did not find a similar association between patent... 

    Unsupervised Abnormal Activity Detection and Description in Video

    , M.Sc. Thesis Sharif University of Technology Hassani, Hesameddin (Author) ; Sharif Khani, Mohammad (Supervisor) ; Gholampour, Iman (Supervisor)
    Abstract
    Nowadays, surveillance cameras are an integral part of the transportation management center. On one hand, developing of surveillance cameras around the cities and on the other hand, increasing costs of driving accidents, makes it necessary to use the automatic behavior analyzing systems on video sequences. The scientists’ focuses on detecting unusual events as one of the most important usage of video analysis, and recently, the algorithms of unusual action detecting had an impressive development by using the machine learning methods. In this research, the existing unusual event detection methods and in special, traffic unusual activities will place under scrutiny, and we suggest an algorithm... 

    Technological Capabilties, Generating Value-added and Upgrading in Global Value Chains: Evidence from Developing Countries

    , M.Sc. Thesis Sharif University of Technology A'lami, Mohammad Hossein (Author) ; Miremadi, Iman (Supervisor) ; Madanizadeh, Ali (Supervisor)
    Abstract
    Today, global value chains(GVCs) have distributed the production of goods and services all over the world and have become the main part of global trade. GVCs provide developing countries with oppurtunities for engaging in economic activity and producing goods, without developing all the infrastructure needed for producing it yourself. but participating in GVCs also pose some challenges to developing countries. if developing countries do not enhance their ability for generating value-added, by losing the advantage of cheap labour over time, they will fall into the so-called "middle-income trap". therefore upgrading, with the broad definition of generating more value-added, should be targeted...