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    Stability analysis of a single-phase phase-locked loop for power systems applications

    , Article 2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012, 2 July 2012 through 5 July 2012 ; 2012 , Pages 1383-1387 ; 9781467303828 (ISBN) Seifi, S ; Karimi, H ; Sharif University of Technology
    2012
    Abstract
    This paper presents the stability analysis for a single-phase phase-locked loop (PLL) for power systems applications. The dynamical equations of a previously presented single-phase PLL are systematically derived and linearized for design and stability analysis purposes. Based on the linearized model of the PLL, parameters of the loop filter and the PI controller are accurately determined. The main advantages of the PI controller are discussed as well as its design procedure. Moreover, it is shown that, unlike the conventional single-phase PLLs, the mentioned PLL does not suffer from double-frequency ripples. Simulations carried out in MATLAB and SIMULINK verify the performance of the PLL... 

    Motion Planning & Control of Mobile Robots

    , M.Sc. Thesis Sharif University of Technology Seifi, Sepehr (Author) ; Namvar, Mehrzad (Supervisor)
    Abstract
    Wheeled mobile robots form a subcategory of mobile robots and are usually accompanied with geometric constraints on their velocities. These constraints do not allow the robots to move in any path that only does not collide with obstacles, in order to move from one point to another. On the other hand, the nonlinear nature of these systems make their control difficult. A general approach in motion planning and control for mobile robots is using standard forms equivalent to their state equations; Usually, solving motion planning and control problems for these forms is easier than that of the original system. Also,the mentioned problems are more prospective to have a systematic solution for... 

    Modern Approaches to Scattering Amplitude with Applications

    , M.Sc. Thesis Sharif University of Technology Seifi, Aslan (Author) ; Torabian, Mahdi (Supervisor)
    Abstract
    In this thesis, we first explain how we can construct three-point amplitudes for both massive and massless particles by solely knowing the Lorentz invariance and spin or helicity of particles. Then, using BCFW recursion relation, we determine the tree-level amplitudes. To calculate the loop amplitude, we apply the unitarity of Smatrix.The unitarity relates the tree-level amplitudes to loop level. Finally, I discuss some exciting topics in this field, including color-kinematics duality, some relevant applications of contemporary S-matrix theory in effective field theories  

    Driveability Control for Manual Transmissions Using Control of Electronic Throttle

    , M.Sc. Thesis Sharif University of Technology Seifi, Danial (Author) ; Sayyaadi, Hassan (Supervisor)
    Abstract
    Due to the destructive effects of sudden and adverse changes in acceleration on the human body, drivability control has a particular importance in the automotive industry. Driveability control makes car occupants feel a smooth and comfortable driving, and it will play a vital role in the competition between companies to provide a good product with optimal driving quality.In this project, the aim is to achieve a smooth acceleration curve in a vehicle equipped with a manual transmissions. The meaning of smooth acceleration curve is to reduce jerk and shock caused by inappropriate driver behaviors and to control the car's torque and acceleration to a desirable level. In this project, first, the... 

    Investigation of Dissipation Effects in Quantum Emission and Problem of Classical Noise in Decoherence Process

    , Ph.D. Dissertation Sharif University of Technology Seifi, Mina (Author) ; Shafiee, Afshin (Supervisor)
    Abstract
    Recent studies suggest that the selectivity filter may exhibit quantum coherence, which could play a role in explaining the processes of ion selection and conduction. As the ion channel system interacts with its environment, it undergoes a decoherence process. In this thesis, the relationship between jump rates and coherence preservation in ion channels is examined initially. To this end, using the Lindblad master equation to describe a three-level system, results are analyzed in different quantum regimes. To directly study coherence in the system, distillable coherence was used as a coherence measure, and the second-order coherence function was calculated. As expected, distillable coherence... 

    Extending the hypergradient descent technique to reduce the time of optimal solution achieved in hyperparameter optimization algorithms

    , Article International Journal of Industrial Engineering Computations ; Volume 14, Issue 3 , 2023 , Pages 501-510 ; 19232926 (ISSN) Seifi, F ; Niaki, S. T. A ; Sharif University of Technology
    Growing Science  2023
    Abstract
    There have been many applications for machine learning algorithms in different fields. The importance of hyperparameters for machine learning algorithms is their control over the behaviors of training algorithms and their crucial impact on the performance of machine learning models. Tuning hyperparameters crucially affects the performance of machine learning algorithms, and future advances in this area mainly depend on well-tuned hyperparameters. Nevertheless, the high computational cost involved in evaluating the algorithms in large datasets or complicated models is a significant limitation that causes inefficiency of the tuning process. Besides, increased online applications of machine... 

    Detection of Change in Nonlinear Profiles using Kriging and Comparison with Self Organizing Clustering Method

    , M.Sc. Thesis Sharif University of Technology Seifi Shishavan, Hadi (Author) ; Mahlooji, Hashem (Supervisor)
    Abstract
    Control Charts are the most popular monitoring tools for profiles. The time that a control chart gives an out-of-control signal is not the real time of change. The actual time of change is called the change point. This study suggests two new algorithms to find the change (shift) in parameters of nonlinear profiles. First, using ordinary Kriging method, new points are estimated. Then, with the help of Bernoulli hypothesis test, the probability of detecting the change for new points is tested. Nonlinear profiles in this study follow the exponential family of distributions; in particular, Exponential, Poison and Gaussian distribution structures are used as nonlinear profiles. The proposed... 

    A Robust Simulation Optimization Algorithm using Bayesian Method

    , M.Sc. Thesis Sharif University of Technology Seifi, Farshad (Author) ; Akhavan Niaki, Taghi (Supervisor)
    Abstract
    Huge availability of data in last decade has raised the opportunity to use data for decision making. The idea of using existing data to achieve more coherent reality solution has led to a branch of optimization called data-driven optimization. Presence of uncertain variables makes it crucial to design robust optimization methods for this area. On the other hand, in many real-world problems, the closed-form of the objective function is not available and a meta-model based framework is necessary. Motivated by this, we are using a Gaussian process in a Bayesian optimization framework to design a method that is consistent with the data in predefined confidence level. The goodness of the... 

    A heuristic approach for periodic vehicle routing problem: A case study

    , Article International Journal of Logistics Systems and Management ; Volume 8, Issue 4 , 2011 , Pages 425-443 ; 17427967 (ISSN) Seifi, A. A ; Safaei, N ; Assadi, P ; Sharif University of Technology
    2011
    Abstract
    A heuristic approach is proposed to solve a real Periodic Vehicle Routing Problem (PVRP) that aims at extending the market share with the minimum transportation cost. In PVRP, vehicles are assigned to routes in different workdays to satisfy the frequency of visiting customers. The objective is to determine the scheduling and routing policies of the vehicles to minimise the fleet size and to maximise the selling benefits. The vehicle capacity and the trip time are the main constraints. The proposed approach is verified by real data and obtained results imply a significant improvement as compared to the current status  

    Green supply chain network design considering inventory-location-routing problem: A fuzzy solution approach

    , Article International Journal of Logistics Systems and Management ; Volume 35, Issue 4 , 2020 , Pages 436-452 Gholipour, S ; Ashoftehfard, A ; Mina, H ; Sharif University of Technology
    Inderscience Publishers  2020
    Abstract
    The growing rate of population and technological advancement have led to an increase in natural resource consumption, which has caused irreparable damage to the environment. The implementation of green supply chain management is one of the most effective ways to deal with environmental degradation. Therefore, in this paper, a bi-objective mixed integer linear programming model is developed to design a green supply chain network. In the proposed model, the possibility of customer storage, being faced with shortage, locating of distribution centres, green vehicle routing problem, split delivery, multi-depot vehicle routing problem (VRP), capacitated VRP, and uncertainty in demands will be... 

    A dynamic decision support system for sustainable supplier selection in circular economy

    , Article Sustainable Production and Consumption ; Volume 27 , 2021 , Pages 905-920 ; 23525509 (ISSN) Alavi, B ; Tavana, M ; Mina, H ; Sharif University of Technology
    Elsevier B.V  2021
    Abstract
    Supplier selection is an important and challenging problem in sustainable supply chain management. We propose a dynamic decision support system (DSS) for sustainable supplier selection in circular supply chains. Unlike the linear take-make-waste-dispose production systems, circular supply chains are nonlinear make-waste-recycle production systems with zero-waste vision. The proposed DSS allows users to customize and weight their economic, social, and circular criteria with a fuzzy best-worst method (BWM) and select the most suitable supplier with the fuzzy inference system (FIS). Machine learning is used to maintain and synthesize the criteria scores for the suppliers after each supplier... 

    A dynamic decision support system for sustainable supplier selection in circular economy

    , Article Sustainable Production and Consumption ; Volume 27 , 2021 , Pages 905-920 ; 23525509 (ISSN) Alavi, B ; Tavana, M ; Mina, H ; Sharif University of Technology
    Elsevier B.V  2021
    Abstract
    Supplier selection is an important and challenging problem in sustainable supply chain management. We propose a dynamic decision support system (DSS) for sustainable supplier selection in circular supply chains. Unlike the linear take-make-waste-dispose production systems, circular supply chains are nonlinear make-waste-recycle production systems with zero-waste vision. The proposed DSS allows users to customize and weight their economic, social, and circular criteria with a fuzzy best-worst method (BWM) and select the most suitable supplier with the fuzzy inference system (FIS). Machine learning is used to maintain and synthesize the criteria scores for the suppliers after each supplier... 

    Fabrication and Optimizing a Bilayer Scaffold with the Ability to Release Growth Factors in Aim to Treating Injuries in Tissue Engineering

    , M.Sc. Thesis Sharif University of Technology Seifi, Saeed (Author) ; Shamloo, Amir (Supervisor) ; Hosseini, Vahid (Supervisor)
    Abstract
    Skin, as the largest organ of the body and the first protector against external injuries, plays an important role in maintaining human health. Therefore, providing a method for complete treatment of skin lesions is very important. In the last century, tissue engineering approaches, with the introduction of skin scaffolds, have been instrumental in the process of skin tissue regeneration and treatment. The aim of the present study is to construct an optimal bilayer scaffold to mimic the two outer layer of the skin (epidermis and dermis). Besides, the effects of placenta extract on acceleration of wound healing was investigated by an in-vivo test. both layer of scaffold are porous hydrogels,... 

    A fuzzy solution approach to supplier selection and order allocation in green supply chain considering the location-routing problem

    , Article Scientia Iranica ; Volume 28, Issue 1 E , 2021 , Pages 446-464 ; 10263098 (ISSN) Ebrahimi Qazvini, Z ; Haji, A ; Mina, H ; Sharif University of Technology
    Sharif University of Technology  2021
    Abstract
    In the eld of supply chain, selecting a suitable green supplier could signi cantly help us decrease the cost and risks of the operations and increase the quality of green supply. This paper develops an integrated two-stage approach based on Fuzzy Analytic Hierarchy Process (FAHP) and multi-objective mixed-integer linear programming to select suppliers and allocate order in the green supply chain. In the rst stage, suppliers are evaluated using FAHP method and in the second stage, a multi-product multi-period supply chain is developed considering green location-routing problem, discounting, and time window under uncertainty. Then, a fuzzy solution approach is applied to solve the proposed... 

    Application of bat optimization algorithm in optimal power flow

    , Article 24th Iranian Conference on Electrical Engineering, ICEE 2016, 10 May 2016 through 12 May 2016 ; 2016 , Pages 793-798 ; 9781467387897 (ISBN) Delkhosh Abatari, H ; Seyf Abad, M. S ; Seifi, H ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2016
    Abstract
    In this paper, Bat Algorithm is proposed to solve the Optimal Power Flow (OPF) problem. The approach employs a Meta heuristic optimization algorithm called bat optimization algorithm to determine the optimal settings of control variables of OPF problem. The performance of proposed method examined on the IEEE 9, 14, 30 and 57-buses test systems with fuel cost minimization as the objective function. The numerical results are compared to those of Particle Swarm Optimization (PSO), Harmony Search (HS) and Cuckoo algorithms. Simulation results obtained from the proposed approach demonstrate that this method provide effective and robust high-quality answer for the OPF problem. © 2016 IEEE  

    A data-driven robust optimization algorithm for black-box cases: An application to hyper-parameter optimization of machine learning algorithms

    , Article Computers and Industrial Engineering ; Volume 160 , 2021 ; 03608352 (ISSN) Seifi, F ; Azizi, M. J ; Akhavan Niaki, S. T ; Sharif University of Technology
    Elsevier Ltd  2021
    Abstract
    The huge availability of data in the last decade has raised the opportunity for the better use of data in decision-making processes. The idea of using the existing data to achieve a more coherent reality solution has led to a branch of optimization called data-driven optimization. On the one hand, the presence of uncertain variables in these datasets makes it crucial to design robust optimization methods in this area. On the other hand, in many real-world problems, the closed-form of the objective function is not available and a meta-model based framework is necessary. Motivated by the above points, in this paper a Gaussian process is used in a Bayesian optimization framework to design a... 

    A green closed-loop supply chain network: A bi-objective mixed integer linear programming model

    , Article International Journal of Operational Research ; Volume 41, Issue 4 , 2021 , Pages 492-513 ; 17457645 (ISSN) Gholipour, S ; Salehian, F ; Lamouchi, H ; Mina, H ; Sharif University of Technology
    Inderscience Publishers  2021
    Abstract
    The increasing level of customer awareness and application of environmental laws by governments, on the one hand, and the increasing number of competitors, on the other hand, has obliged industry owners to include green activities in the design of the supply chain network. Green activities include any type of action that reduces environmental degradation. Hence, this study seeks to develop a bi-objective, mixed integer linear programming (MILP) model for designing a green supply chain network. In the proposed model, the minimisation of costs and detrimental environmental effects are discussed. LP metric method is used to solve the bi-objective model and the proposed model is run by using... 

    Using Supported Ionic Liquid Membranes (SILMs) for Selective Separation of CO2/CH4

    , M.Sc. Thesis Sharif University of Technology M.Barghi, Hamed (Author) ; Rashtchian ,Davood (Supervisor) ; Adibi, Mina (Supervisor)
    Abstract
    Supported Ionic Liquid Membranes (SILMs) are fabricated by saturating the pores of a porous support with ionic liquids. To assess the performance of SILMS, it is necessary to obtain data about the properties of ionic liquids such as diffusivity, solubility, and etc. To accomplish this task, in this project the permeability and diffusivity of CO2 and CH4 through three immidazolium-based ionic liquids: [bmim][PF6], [hmim][Tf2N], and "1-methyl-3-(3- tri methoxi silil propyl) imidazolium bis (tri fluoro methyl solphonyl)" , in the temperature range between 27-45 ℃ and pressures within 10-50 kPa, are measured. It is shown in data validation section that the results of this study are in good... 

    Optimization of Production of Biodiesel

    , M.Sc. Thesis Sharif University of Technology Azadfar, Mohsen (Author) ; Rashtchian, Davood (Supervisor) ; Adibi, Mina (Supervisor)
    Abstract
    Reduction in the oil reserves level and the increasing of fossil fuel prices and GHG has led to growing value of attention to biodiesel. Reserves of fossil fuels are running out and should have proper alternative for them. Environmental benign and renewable properties of biodiesel make it consider suitable candidate to replace fossil fuels.
    In this study, continuous production of biodiesel and optimization of important and influential parameters have been investigated. The method is concluded of trans esterification of soya oil with methanol as feed in presence of homogeneous catalyst of NaOH. The reactor was simple with high efficiency and low operational and investment cost. The... 

    Automated Code Reviewer Recommendation for Pull Requests

    , M.Sc. Thesis Sharif University of Technology Moosa Reza, Mina Sadat (Author) ; Heydarnoori, Abbas (Supervisor)
    Abstract
    Nowadays, by distributed software development growth based on pull-requests, it is possible to review code changes before integrating into the master program by a third-party, informally and tool-based which is called Modern Code Review (MCR). Effectively performing MCR can facilitate the software evolution phase through reducing post-release defects. In MCR, after sending the pull request, the developer invites appropriate reviewers to inspect his code. Due to the high volume of requests and potential reviewers in many projects, selecting the appropriate reviewer is difficult and time consuming. Previously, a variety of recommender systems have been proposed that use methods based on...