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    Identifying and Rating Indicators for Measuring Iranian Entrepreneurship Ecosystem based on OECD Framework’s Domains with ANDE Method

    , M.Sc. Thesis Sharif University of Technology Barati, Amir (Author) ; Yavari, Elham (Supervisor) ; Sharif, Hossein (Co-Advisor)
    Abstract
    “Entrepreneurship ecosystem” is defined as the elements – individuals, organizations or institutions – apart from the individual entrepreneur that are conducive to, or inhibitive of, the choice of a person to become an entrepreneur, or the probabilities of his or her success following launch. Entrepreneurial businesses operate locally or regionally and are therefore subject to local or regional contextual influence. Moreover particularly in larger countries there can exist significant variation in industry structure and economic base across regions, emphasizing the importance of regional focus. Adopting appropriate policies at the regional level need to have a deep and accurate... 

    A Method for Incremental Learning of Stream Data

    , Ph.D. Dissertation Sharif University of Technology Kashani, Elham Sadat (Author) ; Bagheri Shouraki, Saeed (Supervisor)
    Abstract
    Today, the pace of information generation, fast processing and instant decision-making is increasing. In this regard, one of the main needs in the field of data management and processing is stream data processing. Today's world needs new methods to deal with and analyze these data. Two of the most challenging aspects of data streams are (i) concept drift, i.e. evolution of data stream over time, which requires the ability to make timely decisions against the high speed of receiving new data; (ii) limited memory storage and the impracticality of using memory due to the large amount of data. Clustering is one of the common methods for processing data streams, without having basic knowledge... 

    Applying Gamification in Corporate Entrepreneurship Culture, Specially Missionary Organizations; Through SafirFilm Case Study

    , M.Sc. Thesis Sharif University of Technology Jafarian, Hamid Reza (Author) ; Yavari, Elham (Supervisor) ; Banki, Sara ($item.subfieldsMap.e)
    Abstract
    Although existing literature on organizational culture and its change process contains meaningful and rich theories but our studies show that there is no perfect and detailed framework on linking organizational culture change and corporate entrepreneurship culture. In addition to that, Gamification –defined as taking the game design elements into non-game contexts– is a fruitful and academically rich research area. Fortunately an idea proposed recently to explain a method for enhancements in organizational culture in general, and in corporate entrepreneurship culture in particularby Yavari and Jafarian based on using game mechanisms. In their paper "A Gamification-Based Method for Corporate... 

    Distributed Cardiovascular System Modeling

    , M.Sc. Thesis Sharif University of Technology Khani, Mehrdad (Author) ; Jahed, Mehran (Supervisor)
    Abstract
    Simulation of cardiovascular system functionality during various physiological conditions is essential at different diagnostic and clinical levels. A first step in studying the roots of cardiovascular diseases and abnormal activity is to study a practical yet complete model of the cardiovascular system. In this thesis we introduced a new approach for defining the distributed model of the cardiovascular system. Initially, we chose an appropriate subsystem, namely Arch of Aorta, and proposed a distributed model for it. The elements of the proposed model were nonlinear RLC elements that simulate resistance, blood viscosity and vessel elasticity respectively. To minimize the system complexity,... 

    Coordinated Scheduling in Public Transportation by Aim of Transfer Time Reduce

    , M.Sc. Thesis Sharif University of Technology Khani, Alireza (Author) ; Shafahi, Yusof (Supervisor)
    Abstract
    The thesis is about transit network scheduling problem and aims to minimize waiting time at transfer stations. The problem is formulated as a mixed integer programing model that gives departure times of vehicles in lines so that passengers can transfer between lines at transfer stations with minimum waiting time. The model is expanded to another model by considering an extra stoping time of vehicles at transfer stations as a new variable set. By calculationg the optimal value for these variables, transfers could be done in a better condition. The sizes of the models are small enough that the models can be solved for small and medium size networks using regular MIP solvers. Moreover, a... 

    Transfer optimization in transit networks: Headway and departure time coordination

    , Article IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC ; 2011 , Pages 1531-1536 ; 9781457721984 (ISBN) Khani, A ; Shafahi, Y ; Sharif University of Technology
    2011
    Abstract
    This paper studies the scheduling problem in transit networks in order to decrease transfer waiting time. Transfer waiting time is calculated based on headway and departure time of intersecting routes and is divided into two parts. The first part can be reduced by changing departure times and was studied by the authors previously. The focus of the present research, however, is to minimize the second part of the transfer waiting time, dependent on the headways. The proposed optimization model in this paper includes both parts and is a nonlinear mathematical programming model. The model is decomposed to the departure time setting model (DSM) and the headway setting model (HSM). A solution... 

    Robust model predictive control of nonlinear processes represented by Wiener or Hammerstein models

    , Article Chemical Engineering Science ; Volume 129 , 2015 , Pages 223-231 ; 00092509 (ISSN) Khani, F ; Haeri, M ; Sharif University of Technology
    Elsevier Ltd  2015
    Abstract
    Representing nonlinear systems by linear models along with structured or unstructured uncertainties and applying robust control strategies could reduce the computational complexity in comparison with implementing the nonlinear model predictive controllers. In this paper design of robust model predictive controllers which are based on special classes of nonlinear systems representations called Wiener and Hammerstein are presented. The proposed algorithms approximate the nonlinear systems by uncertain linear models and reduce online the computational demands in the control implementation. The advantages of the proposed approaches are illustrated by two examples  

    Smooth switching in a scheduled robust model predictive controller

    , Article Journal of Process Control ; Volume 31 , 2015 , Pages 55-63 ; 09591524 (ISSN) Khani, F ; Haeri, M ; Sharif University of Technology
    Elsevier Ltd  2015
    Abstract
    Abstract This paper proposes a bumpless transfer method to overcome the problem of switching jumps in a scheduled robust model predictive control approach. A scheduled robust model predictive controller implements a set of local robust model predictive controllers based on an on-line switching strategy. This method could enlarge the domain of attraction efficiently but the transient response might be hampered by spikes appearing at the moment of switching between adjacent local controllers. The proposed algorithm could enhance the transient response by implementing some intermediate controllers augmented to the main control scheme to solve the problem without needing more computation. The... 

    Constrained tracking control for nonlinear systems

    , Article ISA Transactions ; Volume 70 , 2017 , Pages 64-72 ; 00190578 (ISSN) Khani, F ; Haeri, M ; Sharif University of Technology
    2017
    Abstract
    This paper proposes a tracking control strategy for nonlinear systems without needing a prior knowledge of the reference trajectory. The proposed method consists of a set of local controllers with appropriate overlaps in their stability regions and an on-line switching strategy which implements these controllers and uses some augmented intermediate controllers to ensure steering the system states to the desired set points without needing to redesign the controller for each value of set point changes. The proposed approach provides smooth transient responses despite switching among the local controllers. It should be mentioned that the stability regions of the proposed controllers could be... 

    Effect of sectionalizing switches malfunction probability on optimal switches placement in distribution networks

    , Article International Journal of Electrical Power and Energy Systems ; Volume 119 , July , 2020 Khani, M ; Safdarian, A ; Sharif University of Technology
    Elsevier Ltd  2020
    Abstract
    Sectionalizing switches (SSs) are installed in distribution networks to provide ring and maneuver points, thereby increasing service reliability. These switches are either manual switches (MSs) or remote controlled switches (RCSs). The switches are usually assumed to be fully reliable. However, in practice, their performance is not always ideal. Actually, the switches may sometimes experience malfunction, which reduces their ability to enhance system reliability. The present study proposes a model to consider the malfunction possibility of the switches in their optimal placement problem. The model helps to minimize the total costs of SSs as well as the interruption costs incurred by... 

    A novel multi-access scheme for UWB-PPM communication systems

    , Article European Transactions on Telecommunications ; Volume 18, Issue 4 , 2007 , Pages 389-401 ; 1124318X (ISSN) Khani, H ; Azmi, P ; Sharif University of Technology
    2007
    Abstract
    In this paper, it is shown that some spikes exist in power spectral density (PSD) of ultra-wideband-time-hopping-pulse-position-modulation (UWB-TH-PPM) transmitted signal. Analytical and numerical simulation results show that these spikes severely degrade UWB-TH-PPM system bit-error-rate performance and must be properly removed. This paper proposes a novel multi-access scheme that uses both direct-sequence (DS) and time-hopping (TH) multi-access schemes to remove these harmful spikes. Analytical and numerical simulation results show that the proposed scheme removes the spikes from the PSD of the UWB-TH-PPM transmitted signal and yields better performance. In this paper, the performance of... 

    Enlarging the region of stability in robust model predictive controller based on dual-mode control

    , Article Transactions of the Institute of Measurement and Control ; Volume 43, Issue 14 , 2021 , Pages 3085-3092 ; 01423312 (ISSN) Khani, F ; Haeri, M ; Sharif University of Technology
    SAGE Publications Ltd  2021
    Abstract
    Industrial processes are inherently nonlinear with input, state, and output constraints. A proper control system should handle these challenging control problems over a large operating region. The robust model predictive controller (RMPC) could be an linear matrix inequality (LMI)-based method that estimates stability region of the closed-loop system as an ellipsoid. This presentation, however, restricts confident application of the controller on systems with large operating regions. In this paper, a dual-mode control strategy is employed to enlarge the stability region in first place and then, trajectory reversing method (TRM) is employed to approximate the stability region more accurately.... 

    Modeling of the mutual effect of dynamic precipitation and dislocation density in age hardenable aluminum alloys

    , Article Journal of Alloys and Compounds ; Volume 683 , 2016 , Pages 527-532 ; 09258388 (ISSN) Khani Moghanaki, S ; Kazeminezhad, M ; Sharif University of Technology
    Elsevier Ltd  2016
    Abstract
    A model has been proposed to capture the complex strain rate effect on dynamic precipitation of GP zones in an age-hardenable aluminum alloy. The contributions of vacancies and dislocations to dynamically formed GP zones have been specified in the model. It has been demonstrated that the proposed model is capable for predicting the contribution of each dynamic precipitation mechanisms, accurately, which are acting during deformation. Furthermore, the vacancy and dislocation evolutions during deformation have been considered in this modeling. The effect of strain rate by considering different mechanisms of dynamic precipitation of GP zones has been studied and confirmed by experimental data... 

    Effects of non-isothermal annealing on microstructure and mechanical properties of severely deformed 2024 aluminum alloy

    , Article Transactions of Nonferrous Metals Society of China (English Edition) ; Volume 27, Issue 1 , 2017 , Pages 1-9 ; 10036326 (ISSN) Khani Moghanaki, S ; Kazeminezhad, M ; Sharif University of Technology
    Nonferrous Metals Society of China  2017
    Abstract
    Microstructure and mechanical properties of AA2024 after severe plastic deformation (SPD) and non-isothermal annealing were investigated. The non-isothermal treatment was carried out on the severely deformed AA2024, and the interaction between restoration and precipitation phenomena was investigated. Differential scanning calorimetry, hardness and shear punch tests illustrate that static recovery and dissolution of GPB zones/Cu–Mg co-clusters occur concurrently through non-isothermal annealing. Scanning electron microscope and electron backscatter diffraction illustrate that non-isothermal annealing of deformed AA2024 up to 250 °C promotes the particle-free regions and also particle... 

    Design and Implementation of a Multi-Standard Crypto-Processor

    , M.Sc. Thesis Sharif University of Technology Bahadori, Milad (Author) ; Sharif Khani, Mohammad (Supervisor)
    Abstract
    The crypto-processors are used for encryption and decryption of the sensitive and important information. A crypto-processor converts input plaintext to ciphertext by an input key using a particular cryptographic algorithm. It also converts ciphertext to plaintext by the same or another key. Cryptographic standards are divided in two types: symmetric key algorithms (private key) and asymmetric key algorithms (public key). Current processors generally support only one or a few number of cryptographic algorithms. The motivation of this project is design and implementation of a multi-standard crypto-processor which supports the most of symmetric and asymmetric cryptographic algorithms, such as... 

    Physician Induced Demand Case Study of Caesarean Section in Iran

    , M.Sc. Thesis Sharif University of Technology Khani, Mohammad (Author) ; Fatemi Ardestani, Farshad (Supervisor)
    Abstract
    In standard models, the demand function is considered to be independent from the supply function and the intersection of these curves is considered to determine the price and quantity in the market. The alternative model, called “inducement hypothesis”, describes how the supply side can persuade consumers through particular advices, induce demand for the provided services and though shift the demand curve; i.e. demand is not independent from supply. For the case of physicians, this hypothesis is known as “physician induced demand”. In fact, this theory describes the supply-side moral hazard in the production market. This hypothesis may have vast applications which are different from... 

    , M.Sc. Thesis Sharif University of Technology Miraki, Mohammad (Author) ; Sharif Khani, Mohammad (Supervisor)
    Abstract
    With the advancement of the technology, Design of low power devices such as biomedical systems, wireless sensor network, portable devices and … has received more attention. Digitally controlled oscillator (DCO) is one of the sub-blocks in systems such as all digital phase locked loop (ADPLL) which consumes the major power of the system. Therefore, Design of a low power DCO will decrease the power consumption of the system significantly.
    In this thesis, a digital control oscillator which is ultra low power is design for system on chip applications. Coarse-Fine architecture is used with binary weighted cells in this design. For the Coarse tuning stage, a new delay cell is proposed which... 

    Circuit and Systematic Design of Low Power SAR ADC

    , M.Sc. Thesis Sharif University of Technology Yazdani, Behnam (Author) ; Sharif Khani, Mohammad (Supervisor)
    Abstract
    Low power and high speed analog-to-digital converters (ADCs) are the key elements of communication and computing systems. There are several ADC structures such as delta-sigma, flash, pipeline, and successive approximation register (SAR) for different applications, albeit SAR ADCs are natural candidates of onchip designs for their low power and scalability benefits. Nowadays, SAR ADCs are widely being used in low-power moderate-resolution applications which need several tens of MS/s to low GS/s sampling rates. By virtue of the technology scaling power consumption of digital parts of a SAR ADC is reduced significantly. As a result, in a SAR ADC the power consumption of the digital-to-analog... 

    Design and Optimization of HTTP Adaptive Video Streaming Algorithm for Mpeg-DASH

    , M.Sc. Thesis Sharif University of Technology Iranmanesh, Ehsan (Author) ; Sharif Khani, Mohammad (Supervisor)
    Abstract
    The popularity of Internet-based video services has increased in recent years, while in 2017 reached nearly 70% of the total Internet traffic. Changes in network status and the problems that result in the user experience leading to poor quality of the video watching experience, online video players have been using adaptive algorithms to match the quality of the received stream to the current state of the network. Different algorithms have been proposed for optimization of matching operations, but due to the different and sometimes contradictory nature of the constituents of the quality of user experience, the priority and focus of each of these algorithms is based on different challenges... 

    Emergency Management Decision Support System Based on Bayesian Network

    , M.Sc. Thesis Sharif University of Technology Khani Dehaj, Mohammad (Author) ; Mahsuli, Mojtaba (Supervisor)
    Abstract
    This research proposes a probabilistic framework for decision support in emergency response. Currently, decision-making is traditionally based on data from reconnaissance teams, while there are other information sources that assist decision-making. These sources of information include social sensors, physical sensors, aerial imaging, and crowdsourcing. The information obtained from these sources is heterogeneous and uncertain, requires a probabilistic data fusion framework to be used in decision making. This research employs Bayesian Networks for this purpose. The outstanding feature of the Bayesian Network is its real-time nature, which set apart it from other methods. This feature makes...