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Adaptive Estimation of Satellite Attitude via an Entropy Approach
, M.Sc. Thesis Sharif University of Technology ; Pourtakdoust , Hossein (Supervisor) ; Kiani, Maryam (Supervisor)
Abstract
Nonlinear state estimation algorithms developed based on Bayesian framework have been increasingly utilized in space navigation and attitude estimation to enhance the mission performance. However, successful implementation of these algorithms requires accurate knowledge of process and measurement noise statistical properties. As the satellites experience various systematic and environmental uncertainties on orbit, no priori information of noise characteristics is usually available. In this regard, adaptive estimation algorithms have been widely utilized to tune the planned noise properties according to the variable working conditions. Among various adaptation methods, innovation-based...
3d Design of a Microfluidic Chip for Anticancer Drugs Screening
, M.Sc. Thesis Sharif University of Technology ; Mashayekhan, Shohreh (Supervisor) ; Saadatmand, Maryam (Supervisor)
Abstract
Nowadays, advanced and inexpensive pre-clinical methods for investigating the effects of anti-cancer drugs are expanding. One of the latest three-dimensional laboratory modeling for evaluating the effects of drugs is the use of tumor-on-chip technology, which actually models the physiological system of the body through three-dimensional scaffolds, multicellular cultures, and shaped vascular systems. In this study, three-dimensional culture of cancer cells was performed in the form of spheroids. A chip of U-shaped microstructures with and without gaps was used to trap cells and form cancer spheroids. We simulated the simultaneous effect of drug and oxygen concentration distribution inside the...
QBism is not so simply dismissed
, Article Foundations of Physics ; Volume 50, Issue 7 , 2020 , Pages 693-707 ; Sharif University of Technology
Springer
2020
Abstract
QBism is one of the main candidates for an epistemic interpretation of quantum mechanics. According to QBism, the quantum state or the wavefunction represents the subjective degrees of belief of the agent assigning the state. But, although the quantum state is not part of the furniture of the world, quantum mechanics grasps the real via the Born rule which is a consistency condition for the probability assignments of the agent. In this paper, we evaluate the plausibility of recent criticism of QBism. We focus on the consequences of the subjective character of the quantum state, the issue of realism and the problem of the evolution of the quantum state in QBism. In particular, drawing upon...
Niobium incorporation in 2D MoSe2 for lung cancer biomarkers detection: The first-principle study of sensitivity improvement
, Article Computational and Theoretical Chemistry ; Volume 1225 , 2023 ; 2210271X (ISSN) ; Sharif University of Technology
Elsevier B.V
2023
Abstract
To investigate the biomarker detection capability of the 2D MoSe2 monolayer as the lung cancer detection sensor, the interaction between the biomarker molecules and the surface of the sensor has been studied by first-principles calculations in three scenarios namely i) pristine MoSe2, ii) Nb-doped MoSe2, iii) Nb-decorated MoSe2 monolayers. In this study, it is proposed that Nb-decorated MoSe2 is a promising biosensor for detecting the two most prominent lung cancer biomarkers in the breath namely 2-butanone (C4H8O) and 1-propanol (C3H8O). The adsorption energy, charge transfer, and the equivalent sensitivity for C3H8O adsorption on Nb-decorated MoSe2 were calculated as −1.907 eV, 0.026e, and...
Effect of the Fluctuations of Quantum Chromodynamics Topological Charge on the Dispersion Relation of NJL Model
, M.Sc. Thesis Sharif University of Technology ; Sadooghi, Neda (Supervisor)
Abstract
One of the long-lived problems in the theory of quantum chromo dynamics is the violation of parity (P) and charge-parity (CP) symmetries in strong interactions. The existence of gluon configurations sourcing from topology leads to degeneracy in the vacuum structure of the theory. This phenomenon is realized by the addition of an extra term proportional to the parameter to QCD Lagrangian. Experimental estimates of neutron electric dipole, predicts a very small value for this parameter. There is no verified justification for this discrepancy. Recently at the relativistic heavy ion collider laboratory (RHIC) some experimental evidence has been found which indicates local CP violation in...
Calculation of effective parameters of high permittivity integrated artificial dielectrics
, Article IET Microwaves, Antennas and Propagation ; Volume 9, Issue 12 , September , 2015 , Pages 1287-1296 ; 17518725 (ISSN) ; Rejaei ; Sharif University of Technology
Institution of Engineering and Technology
2015
Abstract
An analysis is presented of the effective electromagnetic parameters of high-permittivity, anisotropic artificial dielectrics which are built by stacking arrays of metallic elements and conventional dielectric films, with adjacent arrays shifted with respect to each other. The effective parameters of the artificial dielectric are extracted from the scattering coefficients of plane electromagnetic waves which are normally or obliquely incident on a slab of the artificial material with finite thickness. These coefficients are derived from the generalised scattering matrix of a single layer of metallic elements which is computed using the integral equation technique. Both two-dimensional and...
Determinantal Processes
, M.Sc. Thesis Sharif University of Technology ; Alishahi, Kasra (Supervisor)
Abstract
Determinantal processes are a special family of stochastic processes that arise in physics (fermions), random matrices (eigenvalues), and in combinatorics (random spanning trees and non-intersecting paths). These processes have repelling property (points close to each other are chosen with low probability). Because of this repelling property, determinantal processes are approporiat for modeling some physical quantities (e.g. the position of electrons). Their probabilistic structure is described by operators on complex vector spaces and their eigenvalues. Determinantal processes have interesting properties, e.g. number of points in a region is a sum of independent Bernoulli random variables....
Evaluation of Performance Based Plastic Design Method in Dual Moment Frame-shear Wall Concrete Systems
, M.Sc. Thesis Sharif University of Technology ; Bakhshi, Ali (Supervisor)
Abstract
Performance – based design is a new concept that has been developed in recent years. Given that roof displacement and story drifts determine the performance of the structure during an earthquake, displacement – based design has been considered to be an effective method for performance – based design. However, limiting the maximum displacement would not necessarily lead to a desirable performance; especially in long – duration earthquakes. Thus consecutive loading cycles and the effect of hysteretic energy should be taken into account. Combining displacement – based design with energy principles will lead to a suitable design method. This study presents performance – based plastic design...
Two-dimensional materials for gas sensors: from first discovery to future possibilities
, Article Surface Innovations ; Volume 6, Issue 4-5 , 2018 , Pages 205-230 ; 20506252 (ISSN) ; Tudu, B ; Sharif University of Technology
ICE Publishing
2018
Abstract
Semiconductor gas sensors have been developed so far on empirical bases, but now recent innovative materials for advancing gas sensor technology have been made available for further developments. Two-dimensional (2D) materials have gained immense attention since the advent of graphene. This attention inspired researchers to explore a new family of potential 2D materials. The superior structural, mechanical, optical and electrical properties of 2D materials made them attractive for next-generation smart device applications. There are considerable improvements and research studies on graphene, molybdenum disulfide (MoS2), tungsten disulfide (WS2), tin sulfide (SnS2), black phosphorus and other...
Brain tumor segmentation based on 3D neighborhood features using rule-based learning
, Article 11th International Conference on Machine Vision, ICMV 2018, 1 November 2018 through 3 November 2018 ; Volume 11041 , 2019 ; 0277786X (ISSN); 9781510627482 (ISBN) ; Jamzad, M ; Sharif University of Technology
SPIE
2019
Abstract
In order to plan precise treatment or accurate tumor removal surgery, brain tumor segmentation is critical for detecting all parts of tumor and its surrounding tissues. To visualize brain anatomy and detect its abnormalities, we use multi-modal Magnetic Resonance Imaging (MRI) as input. This paper introduces an efficient and automated algorithm based on the 3D bit-plane neighborhood concept for Brain Tumor segmentation using a rule-based learning algorithm. In the proposed approach, in addition to using intensity values in each slice, we consider sets of three consecutive slices to extract information from 3D neighborhood. We construct a Rule base using sequential covering algorithm. Through...
Brain tumor segmentation based on 3D neighborhood features using rule-based learning
, Article 11th International Conference on Machine Vision, ICMV 2018, 1 November 2018 through 3 November 2018 ; Volume 11041 , 2019 ; 0277786X (ISSN) ; 9781510627482 (ISBN) ; Jamzad, M ; Sharif University of Technology
SPIE
2019
Abstract
In order to plan precise treatment or accurate tumor removal surgery, brain tumor segmentation is critical for detecting all parts of tumor and its surrounding tissues. To visualize brain anatomy and detect its abnormalities, we use multi-modal Magnetic Resonance Imaging (MRI) as input. This paper introduces an efficient and automated algorithm based on the 3D bit-plane neighborhood concept for Brain Tumor segmentation using a rule-based learning algorithm. In the proposed approach, in addition to using intensity values in each slice, we consider sets of three consecutive slices to extract information from 3D neighborhood. We construct a Rule base using sequential covering algorithm. Through...
A reliable ensemble-based classification framework for glioma brain tumor segmentation
, Article Signal, Image and Video Processing ; Volume 14, Issue 8 , 2020 , Pages 1591-1599 ; Jamzad, M ; Sharif University of Technology
Springer Science and Business Media Deutschland GmbH
2020
Abstract
Glioma is one of the most frequent primary brain tumors in adults that arise from glial cells. Automatic and accurate segmentation of glioma is critical for detecting all parts of tumor and its surrounding tissues in cancer detection and surgical planning. In this paper, we present a reliable classification framework for detection and segmentation of abnormal tissues including brain glioma tumor portions such as edemas and tumor core. This framework learns weighted features extracted from the 3D cubic neighborhoods regarding to gray-level differences that indicate the spatial relationships among voxels. In addition to intensity values in each slice, we consider sets of three consecutive...
Numerical study of Geostationary Orbit thermal cycle effects of a tubular adhesive joint: Dynamic behavior
, Article Journal of Adhesion ; Volume 96, Issue 16 , 2020 , Pages 1431-1448 ; Mokhtari, M ; Sharif University of Technology
Bellwether Publishing, Ltd
2020
Abstract
Space environments have a significant influence on advanced composite structures and adhesive joints. Degradation in the mechanical properties of aerospace materials changes the dynamic behavior of the structures and adhesive joints. In this paper, a typical tubular adhesive joint with material degradation due to geostationary orbit (GEO) thermal cycles has been studied numerically with Python scripts. Adhesive joint geometry and boundary conditions are the main parametric study parameters. The results show that the first non–zero natural frequencies of the clamped-free tubular adhesive joint decreased due to mechanical property degradation. A dynamic behavior comparison of the degradation...
WLFS: Weighted label fusion learning framework for glioma tumor segmentation in brain MRI
, Article Biomedical Signal Processing and Control ; Volume 68 , 2021 ; 17468094 (ISSN) ; Jamzad, M ; Sharif University of Technology
Elsevier Ltd
2021
Abstract
Glioma is a common type of tumor that develops in the brain. Due to many differences in the shape and appearance, accurate segmentation of glioma for identifying all parts of the tumor and its surrounding tissues in cancer detection is a challenging task in cancer detection. In recent researches, the combination of atlas-based segmentation and machine learning methods have presented superior performance over other automatic brain MRI segmentation algorithms. To overcome the side effects of limited existing information on atlas-based segmentation, and the long training and the time consuming phase of learning methods, we proposed a semi-supervised learning framework by introducing a...
Optimal Design of Induction MHD Generator for Electrical Power Generation from Exhaust of the Gas Turbine Power Plants
, M.Sc. Thesis Sharif University of Technology ; Boroushaki, Mehrdad (Supervisor)
Abstract
Today, due to increasing electricity consumption and demand, the use of conventional systems such as thermal, hydro and nuclear power plants is not enough to convert energy. Over the past century, scientists have sought to discover new technologies for exploiting different forms of energy and converting them into high-efficiency electrical energy. One of these ways is to use the phenomenon of magnetohydrodynamics (magnetic fluid dynamics) to convert thermal energy directly into electrical energy. Magnetohydrodynamics is a theoretical field that studies the dynamics of fluids with electrical conductivity. Induction magneto-hydrodynamic generators use ionized hot plasma (a quasi-neutral gas of...
A novel cyber-physical system for the optimal heating-cooling of buildings
, Article IEEE Transactions on Automation Science and Engineering ; 2023 , Pages 1-12 ; 15455955 (ISSN) ; Farhadi, A ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2023
Abstract
This paper presents a novel Cyber-Physical System (CPS) equipped with an advanced Distributed Model Predictive Control (DMPC) method with reduced order computational complexity, zero steady-state error, reduced start-up energy consumption and improved transient response for the optimal heating-cooling of buildings. The satisfactory application of this method for the optimal heating-cooling of a large-scale (6-story) building with 40 rooms is illustrated. Smart Industrial Internet of Things (IIoT) -based thermostats, a gateway and a general Quadratic Programming (QP) solver are developed. Using this hardware set-up, the simulation results for the 6-story building are verified in a small scale...
Model Checking of Stochastic Activity Networks
, M.Sc. Thesis Sharif University of Technology ; Movaghar, Ali (Supervisor)
Abstract
Modeling and performance evaluation of the real time distributed systems is a significant problem. Stochastic activity network is one of the high level models used for this purpose. This network is an extension of generalized stochastic Petri net which is more powerful and flexible than other Petri net extensions. Checking the satisfiability of properties such as performance, dependability and user's expected properties is considerable in these models. Thus, using the approaches and generating modeling and model checking tools with the mentioned purpose is attractive. A model checker automatically checks the correctness of the system behaviors as properties against the model by getting the...
Fabrication of Thick Scaffold with Microfluidic Channels by Bioprinter
, M.Sc. Thesis Sharif University of Technology ; Saadatmand, Maryam (Supervisor)
Abstract
Cardiovascular diseases are among the leading causes of death worldwide. For instance, in 2015, almost 31% of the world’s mortality rate was due to these causes. One of these diseases is cardiac coronary vessels’ occlusion which leads to the insufficient blood supply to the heart tissue and cardiomyocytes death after Myocardial Infarction (MI). After MI, a hierarchy of events in the heart tissue changes heart muscle and forms cardiac fibrosis. This fibrotic tissue does not have the native one’s properties and function, so it will cause cardiac arrest and patient death. Therefore, it is obvious that vascular network plays a crucial role in the heart function. The importance of cardiac...
Robust Estimation and Control of a Planet Lander
, M.Sc. Thesis Sharif University of Technology ; Kiani, Maryam (Supervisor)
Abstract
This study has focused on the important problem of landing on a planet as an important current and future space mission. In this regard, dynamics modeling and integrated state estimation and control problems have been investigated in different views. To this aim, first a novel concurrent representation for translational and rotational kinematics has been developed based on the extension of modified Rodrigues parameters to dual space. This parameter set, called dual modified Rodrigues parameters (DMRP), is then utilized to establish an integrated roto-translational dynamic. The proposed DMRP-based kinematics and dynamics have been verified via comparison to traditional methods of...
Optimal Control of Unknown Interconnected Systems via Distributed Learning
, M.Sc. Thesis Sharif University of Technology ; Babazadeh, Maryam (Supervisor)
Abstract
This thesis addresses the problem of optimal distributed control of unknown interconnected systems. In order to deal with this problem, a data-driven learning framework for finding the optimal centralized and the suboptimal distributed controllers has been developed via convex optimization.First of all, the linear quadratic regulation (LQR) problem is formulated into a nonconvex optimization problem. Using Lagrangian duality theories, a semidefinite program is then developed that requires information about the system dynamics. It is shown that the optimal solution to this problem is independent of the initial conditions and represents the Q-function, an important concept in reinforcement...