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A New Immunization Algorithm Based on Spectral Properties for Complex Networks
, M.Sc. Thesis Sharif University of Technology ; Khansari, Mohammd (Supervisor)
Abstract
Vaccination is one of the ways of disease control and prevention, which not only protect individuals against the disease, but also reduce the disease spread rate. Mass vaccination of individuals is not always possible due to the high cost and limitation of immunization resources. Therefore, researchers are always seeking solutions to find the persons that their immunization may have a greater impact in reduction of disease spread rate. The advent of network epidemic models and the possibility of removal the secured nodes in those models, showed that this problem is equivalent to finding a limited set of individuals that their removal will eliminate or minimize the number of people at risk of...
Control of Hiv-1 Infection Using Artificial Intelligence Methods
, M.Sc. Thesis Sharif University of Technology ; Shahrokhi, Mohammd (Supervisor)
Abstract
This project presents algorithms for intelligent control of the viral load in a HIV-1 infection model. The first part of thesis was dedicated to the study of the three states model adopted to describe the HIV-1 infection. A sensitivity analysis of the model parameters was described and computer simulations were provided to show the influence of the parameters explicitly. Then, an internal model control based on neural networks was implemented on the introduced infection model with including the RTIs and PIs drugs efficacies as control input. A stable adaptive neuro-control approach was presented for affine in the control nonlinear dynamical systems, whose nonlinearities were assumed to be...
Design and Manufacturing of Power Station Heat Exchanger Type Test Tunnel
, M.Sc. Thesis Sharif University of Technology ; Durali, Mohammd (Supervisor)
Abstract
This thesis focuses on the design procedures of a Type Test tunnel intended to be used for performance verification of large electrical generator air to water coolers with a dimension of 3*3 meters. Using guidelines of related standards the tunnel was designed and modified to satisfy the requirements set by installation site and manufacturing limitations. As this required some deviations from standard guide lines, the correctness of the final design was evaluated using numerical computation of flow inside the tunnel. The tunnel structure and its internal parts were analyzed for strength and deflections. Using the results of numerical computations, the other main equipments of tunnel such...
Approximating Edit Distance
, Ph.D. Dissertation Sharif University of Technology ; Ghodsi, Mohammd (Supervisor)
Abstract
Edit distance or Levenshtein distance is one of the most fundamental problems in computer science and engineering to measure the dissimilarity between strings.This problem is solvable in O(n^2) time using dynamic programming and in 2015 it was conditionally proven that no truly subquadratic time algorithm (\textit{i.e.}, O(n^{2-ε})) exists for edit distance.Since 2001, approximating edit distance within a constant factor was recognized as one of the biggest unsolved problems in the field of combinatorial pattern matching.This thesis designs seven approximation algorithms for edit distance and its related problems.Firstly, two quantum approximation algorithms are designed with constant...
Design and Implementation of Three Phase Regenerative Electronic AC Load
, M.Sc. Thesis Sharif University of Technology ; Zolghadri, Mohammd Reza (Supervisor)
Abstract
Three-phase electronic loads are used to test the performance of various electrical devices such as power supplies, generators, and transformers. Conventional electronic loads are composed of passive components that consume the energy, so have low power density and efficiency and to manage the produced heat, massive cooling systems are required. Nowadays, to increase efficiency and power density, three-phase regenerative electronic AC loads have been developed. To return energy to the grid and control the input power factor, the structure of these loads is based on back-to-back converters. In this project, a 35 kVA three-phase regenerative electronic AC load is designed. To control the power...
Effective Connectivity Between Nervous System and Cardiovascular System by Time Series Extracted from ECG signal and Frequency Bands of EEG signal
, M.Sc. Thesis Sharif University of Technology ; Shamsollahi, Mohammd Bagher (Supervisor)
Abstract
There is an effective and functional connectivity between the central nervous system and the cardiovascular system, which is controlled by the autonomic nervous system. Investigating this connectivity and its direction can provide valuable insights into their functioning. To examine causal and directional relationships, EEG and ECG signals, which contain useful information about the activities of these two systems, are utilized. Granger causality is a popular method for estimating effective linear connectivity. However, the assumption of linearity in effective connectivity is not always valid, as nonlinear interactions also exist between the nervous and cardiovascular systems. Estimating...
A Recursive Least Squares Solution to Bearing-only Tracking
, M.Sc. Thesis Sharif University of Technology ; Nayebi, Mohammd Mahdi (Supervisor)
Abstract
The conventional bearing-only tracking solutions are based on Kalman filter. Whenever the problem equations are nonlinear, Extended Kalman Filter (EKF) or more complicated methods are used necessarily. However, EKF suffers of being biased and unstable. Here a new recursive method based on a linear modeling of the problem is proposed, the method does not need an initial guess and outperforms the Kalman filter in the terms of accuracy, complexity and stability. Furthermore, input information needed for the proposed tracking filter is just the observer position, time and value of each angle measurements and the computation load is less than even a simple EKF. mathematical analysis, as well as...
Comparison of the Maximum Likelihood Ratio Detectors with the Hough Detectors in RADAR Detection Applications
, M.Sc. Thesis Sharif University of Technology ; Nayebi, Mohammd Mahdi (Supervisor)
Abstract
In this work, Hough detector has been compared with optimum detectors. We consider 2-D range-time data space, which is constructed by storing the radar returns from different range cells during several successive scans. In this space, target trajectory can be modeled as a straight line for short time intervals, and can be extracted by applying Hough transform transcendentally. In this work, a new detection method based on the likelihood ratio in the data space with Gaussian noise is introduced. ALR and GLR processors have been designed. Then formulas for probability of detection and false alarm rate is calculated, and verified via simulations. A new criterion for estimation quality is...
Study of the P-^ Effects on the Behavior of Split-Level Steel Structures
, M.Sc. Thesis Sharif University of Technology ; Khansari, Vahid (Supervisor)
Abstract
Due to unusual response of structures of buildings with irregularity in their architecture to dynamic excitations, to have a comprehensive knowledge of their behavior during earthquakes is of utmost importance. Building irregularities are in general divided into two major categories, namely Irregularity in Plane and Irregularity in Elevation, and one of the forms of the latter is where there is a split in the levels of the building. In this work, through a series of case studies, the effects of P- phenomenon on the behavior of steel split-level building structures were studied. 5, 10 and 15 story buildings with 5 and 6 bays, and level splitting of 30, 60, 90, 120 and 150 cm were studied. All...
A Prevention Strategy Against Rumor Spreading in Complex Networks
, M.Sc. Thesis Sharif University of Technology ; Khansari, Mohammad (Supervisor)
Abstract
Complex networks have recently become a very noticeable subject because of their remarkable theory on real networks such as rumor spreading. This thesis contributes to a prevention strategy which uses a maximal clique algorithm to find overlapping communities and also uses inverse targeting immunization strategy to immune these communities. By the using maximal clique algorithm combined with inverse targeting strategy we have achieved that the TIK method (targeted immunization using k-clique percolation) obtains 10% of better immunization than HD (highest degree) method which is one of the best methods in targeted immunization strategies. The TIK also demonstrates that rumor spreading is...
Analyzing Community Evolution on Open Source Development Networks
, M.Sc. Thesis Sharif University of Technology ; Khansari, Mohammad (Supervisor)
Abstract
Open source software development is growing rapidly according to request of market. Different types of analysis have done on open source development networks to extract knowledge and help both developers and users to decide better. In this thesis, we try to extract data from one of the biggest open source development repositories GitHub and then a community detection algorithm will apply on these data for different time stamps. Then we propose an evolution tracking model and implement it to detect evolution of communities from 2013 until 2015. Then communities size evolution and changes in communities such as growth, dissolve, merge, split and formation will be discussed. After that we...
A Multilayer Approach to Network Immunization Based on Digital Information
, M.Sc. Thesis Sharif University of Technology ; Khansari, Mohammad (Supervisor)
Abstract
Researching in the field of optimization of network immunizing and epidemic spreading is an active and important area. According to literature review, influential nodes are detected based on global graph metrics such as centrality measures. On the other hand, when a network infrastructure is not available and a direct or straight path between source and destination may not be accessible, one can use opportunistic networks routing protocols in Delay Tolerant Networks to recognize influential users is an appropriate approach. In this work, we use a real world three layer dataset which consists of digital data (social relations and Bluetooth contact traces) of individuals. We convert the real...
Design and Implementation of a Robust Control Method for Rotor Tabilizing in a Three-pole Magnetic Bearing
, M.Sc. Thesis Sharif University of Technology ; Behzad, Mehdi (Supervisor)
Abstract
High speed and high accuracy are two of the major trends for many systems in the 21st century, such as machine tools and semiconductor equipment. For the purpose of high speed, it is well known that active magnetic bearing (AMB) is an inevitable substitute for conventional bearings. The noncontact nature of AMB brings up many advantages over the conventional bearing, including energy efficiency, low wearing, long life span, and absence of lubrication. Hence, AMBs are especially essential for high-speed rotating devices nowadays.
While the 3-pole AMB has been proposed for many years, it received little attention due to the magnetic coupling between poles that makes the 3-pole AMB system...
While the 3-pole AMB has been proposed for many years, it received little attention due to the magnetic coupling between poles that makes the 3-pole AMB system...
Investigating the Behaviour Factor of Split-level Steel Braced Frames
, M.Sc. Thesis Sharif University of Technology ; Khansari, Vahid (Supervisor)
Abstract
In this work the response modification factor (RMF), behaviour factor, of two-dimensional regular and split-level steel braced frames was worked out and presented. A total number of 840 frames with various number of stories, spans, braced spans and span lengths were studied. Frames were loaded based on ASCE 7-10 and designed in accordance with AISC 360-10. Static nonlinear analysis and Uang method were used for obtaining the RMFs of the studied frames. The effect of split-level irregularity and parameters such as number of stories on the RMF were worked out and are presented in this thesis. Linear regression was used to develop formulae for RMFs of regular and split-level braced frames....
Experimental Study of a New Steel Shear Wall
, M.Sc. Thesis Sharif University of Technology ; Khansari, Vahid (Supervisor)
Abstract
The lateral force & its control has always been a great concern to structural designers. Based on the project’s location, this force can be either earthquake or wind force. In our country, Iran, the earthquake force is usually the dominant one. Of the most important differences between these two kinds of forces, we may point out the cyclic characteristics and nature of earthquake forces. One can choose different strategies to face the earthquake force including the use of dampers. Dampers exist in vast varieties of different categories which we will briefly explain in this thesis. Dampers can be used on their own or in combination with other lateral force resistance systems like bracings or...
A Healthcare Service Model Based on Software as a Service Approach
, M.Sc. Thesis Sharif University of Technology ; Khansari, Mohammad (Supervisor)
Abstract
In healthcare field to reduce costs, high availability, increasing reliability, access to data from multiple locations and manage distributed information between centers, doctors and patients; there is a certain need to a distributed system and cloud services are a good option to meet that need. In this thesis different models of service delivery in the healthcare were studied which included traditional and cloud models. Also from the survey, the metrics which we used to compare these models were extracted. These metrics include quantitative metrics such as cost, setup time, availability, multi-regional, elasticity, efficiency and qualitative metrics including integrity, privacy,...
Experimental Study of the Hysteretic Behavior of a new Bracing System
, M.Sc. Thesis Sharif University of Technology ; Khansari, Vahid (Supervisor)
Abstract
In this study, the behavior of a new innovative bracing system under cyclic loading and according to AISC code is investigated. An Ideal bracing system, in addition to having sufficient stiffness, should have a suitable ductility. Also, in order to prevent inelastic behavior of other structural members, braces, in addition to possessing high architectural adaptivity, must be able to contain the damage within itself and behave like a fuse. Three specimens with different sections, IPE100, HEA100 and 2UNP100, were designed and tested. The results of these tests represent an elastic- (approximately) perfectly plastic behavior of the brace if an appropriate section is used. Moreover, this bracing...
Detecting Communities in Multidimensional Networks based on Network Structural Properties
, M.Sc. Thesis Sharif University of Technology ; Khansari, Mohammad (Supervisor)
Abstract
Complex network studies grow by the scientific community, thanks to the increasing availability of real-world network data. The importance of using analysis on this type of network algorithms and community structure is one of the most important problems in the field of complex networks. Community Detection in a multidimensional network is still under investigation in the research community. The aim of this research is to give an algorithm for community discovery. We have reviewed the basis for multidimensional network analysis and will present a solid repertoire of basic concepts and analytical measures, which take into account the general structure of multidimensional networks. Then, we...
Why Do Firms Bid Stepwise Rather Than Uniform in a Pay-as-bid
Electricity Market?
,
M.Sc. Thesis
Sharif University of Technology
;
Rahmati, Mohammd Hossein
(Supervisor)
;
Alishahi, Kasra
(Supervisor)
Abstract
Why firms does not submit several steps in their bids curve? In this paper, we present a mathematical model for the behavior of power plants in a Pay-as-Bid auction market. According to this model, in the case that the power plant has a fixed marginal cost, the optimal behavior for him is to offer only one price, but in the case of linear marginal cost, bidding one price is not an optimal price, and with increasing the slope of this function, the number of steps and their price level will increase. We also show that increasing the level of competition in the market will force the plants to lower the price level and the number of steps. The model of this paper also predicts the factors...
Vision-based navigation in autonomous close proximity operations using neural networks
, Article IEEE Transactions on Aerospace and Electronic Systems ; Volume 47, Issue 2 , April , 2011 , Pages 864-883 ; 00189251 (ISSN) ; Saghafi, F ; Sharif University of Technology
2011
Abstract
Tight unmanned aerial vehicle (UAV) autonomous missions such as formation flight (FF) and aerial refueling (AR) require an active controller that works in conjunction with a precise sensor that is able to identify an in-front aircraft and to estimate its relative position and orientation. Among possible choices vision sensors are of interest because they are passive in nature and do not require the cooperation of the in-front aircraft in any way. In this paper new vision-based estimation and navigation algorithms based on neural networks is developed. The accuracy and robustness of the proposed algorithm have been validated via a detailed modeling and a complete virtual environment based on...