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mohseni--amineh
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Misallocation within and between Industries: A Firm-level Analysis of Iranian Enterprises
, M.Sc. Thesis Sharif University of Technology ; Mahmoudzadeh, Amineh (Supervisor)
Abstract
The per capita income and welfare levels of countries around the world vary significantly from each other. Identifying the factors that lead to differences in the per capita income of countries as well as their welfare levels is a major concern for economists. Studies conducted in this field indicate that one of the main sources of these differences is the significant disparity in the total factor productivity (TFP) across countries. Suboptimal resource allocation is one of the most influential factors affecting TFP in countries. The primary importance of investigating misallocation in the Iranian economy is that, in line with the decrease in economic growth, the growth rate of industrial...
The Effect of Government Ownership on Financial Structure: A Case Study of Sahamedalat in Iran
, M.Sc. Thesis Sharif University of Technology ; Mahmoodzadeh, Amineh (Supervisor)
Abstract
The distinction between SOEs and private firms in access to loans is essential from the viewpoint of policy-making. This distinction is more crucial when we know that the difference is caused by factors other than natural market forces and has emerged merely by government ownership. In this paper, we investigate a unique intervention in privatization and identify the causal effect of government ownership on access to loans. In this respect, we study Sahamedalat in Iran by using DID approach and estimate the effect of giving up the treatment firm's cashflow right on the amount and composition of the loans. The results show the intervention significantly decreases the long-term loan of the...
The Impact of Privatization Policy on Firm's Productivity: Case Study of Equity Shares in Iran
, M.Sc. Thesis Sharif University of Technology ; Mahmouzadeh, Amineh (Supervisor)
Abstract
Privatization is one of the most important economic reform policies of the 1980s and 1990s, and it has been widely studied. Many researchers have studied the difference between public and private companies from the perspective of productivity and performance. Due to the different implementation methods of this policy, different consequences are expected. In this research, the causal effect of government ownership on the productivity of companies is investigated. In this regard, using the difference-in-difference method, we investigate the Equity Share policy and measure its effect on the level of productivity of companies and their growth. The results show that the implementation of the...
The Effects of a Change in a Bank’s Soundness on its Lending Power
, M.Sc. Thesis Sharif University of Technology ; Madanizadeh, Ali (Supervisor) ; Mahmoudzadeh, Amineh (Supervisor)
Abstract
The financial depth in Iran has decreased since 2008 and simultaneously the interbank rate has increased. In addition, researches show that the bank health has decreased over the same period. This research investigates to find evidence for the existence of the relationship between the bank health indicators and its lending power. In this regard, the balance sheet data and financial statement data of the Iranian banks during 2007 to 2014 have been investigated and the effect of the bank health indicators on their lending power studied at the normal conditions and sanction periods. In this research like Kashyap and Stein 2000, and Gambacorta and Marques2011, the bank lending channel consider...
Financing Through Money Creation: The Role of Central Bank Policies
, M.Sc. Thesis Sharif University of Technology ; Madanizadeh, Ali (Supervisor) ; Mahmoudzadeh, Amineh (Supervisor)
Abstract
In the banking and macro-financial literature، banks are modeled as financial intermediaries who give loans to the borrowers from their deposits. In these models، deposits are created from the accumulation of real goods. Besides this view، which is used more in the academic environment، others who are most practical، describe banks not intermediaries، but credit creator which do not need deposits to pay loans. In this research، we use credit creation concept in a Neoclassic environment that the central bank’s monetary policy is fractional reserve to answer this question that if banks could create credit for firms based on its future income، while firms have CIA constraints، how do economic...
Bank-firm Ownership Association Impact on Loan Provision in Iran
, M.Sc. Thesis Sharif University of Technology ; Madanizadeh, Ali (Supervisor) ; Mahmoudzadeh, Amineh (Co-Supervisor)
Abstract
Related Lending is defined as banks making loans to firms with which they have some kind of ownership association. On one hand, this practice can help diminish asymmetric information between bank and firm which results in a more efficient allocation of bank’s resources. On the other hand, it may lead to the banks’ transferring resources to their related firms inefficiently, without meticulously assessing the risks involved. This paper is focused on the effect of the relationship between bank and firm in their ownership structure, on the loan provision. I have gathered a unique dataset of private and privatized banks and also private firms active in Iran’s stock market, which covers the...
Tensor-based face representation and recognition using multi-linear subspace analysis
, Article 2009 14th International CSI Computer Conference, CSICC 2009, 20 October 2009 through 21 October 2009, Tehran ; 2009 , Pages 658-663 ; 9781424442621 (ISBN) ; Kasaei, S ; Sharif University of Technology
2009
Abstract
Discriminative subspace analysis is a popular approach for a variety of applications. There is a growing interest in subspace learning techniques for face recognition. Principal component analysis (PCA) and eigenfaces are two important subspace analysis methods have been widely applied in a variety of areas. However, the excessive dimension of data space often causes the curse of dimensionality dilemma, expensive computational cost, and sometimes the singularity problem. In this paper, a new supervised discriminative subspace analysis is presented by encoding face image as a high order general tensor. As face space can be considered as a nonlinear submanifold embedded in the tensor space, a...
Fault diagnosis in robot manipulators in presence of modeling uncertainty and sensor noise
, Article Proceedings of the IEEE International Conference on Control Applications, 8 July 2009 through 10 July 2009, Saint Petersburg ; 2009 , Pages 1750-1755 ; 9781424446025 (ISBN) ; Namvar, M ; Sharif University of Technology
2009
Abstract
In this paper, we introduce a new approach to fault detection and isolation for robot manipulators. Our technique is based on using a new simplified Euler-Lagrange (EL) equation that reduces complexity of the proposed fault detection method. The proposed approach isolates the faults and is capable of handling the uncertainty in manipulator gravity vector. It is shown that the effect of uncalibrated torque sensor measurement is asymptotically rejected in the detection process. A simulation example is presented to illustrate the results. © 2009 IEEE
Automatic localization of cephalometric landmarks
, Article ISSPIT 2007 - 2007 IEEE International Symposium on Signal Processing and Information Technology, Cairo, 15 December 2007 through 18 December 2007 ; 2007 , Pages 396-401 ; 9781424418350 (ISBN) ; Kasaei, S ; Sharif University of Technology
2007
Abstract
Cephalometric analysis has an important role in diagnosis and treatment of dental disharmonies. In this paper, we propose an efficient, fast, and automatic method to localize cephalometric landmarks on digitized x-ray images. The proposed algorithm uses the information of the marked landmarks on a reference normal cephalometry image as the prior knowledge. In the first step of the proposed method, the image is automatically divided into several regions and three main control points are located on it. These are then matched to their corresponding points on the reference image to form an affine transform matrix that describes how other points on the reference image should be mapped to the...
Higgs in nilpotent supergravity: vacuum energy and festina lente
, Article Physics Letters, Section B: Nuclear, Elementary Particle and High-Energy Physics ; Volume 844 , 2023 ; 03702693 (ISSN) ; Torabian, M ; Sharif University of Technology
Elsevier B.V
2023
Abstract
In this note we study supergravity models with constrained superfields. We construct a supergravity framework in which all (super)symmetry breaking dynamics happen in vacuum with naturally (or otherwise asymptotically) vanishing energy. Supersymmetry is generically broken in multiple sectors each of them is parametrized by a nilpotent goldstino superfield. Dynamical fields (the Higgs, inflaton, etc) below the supersymmetry breaking scale are constrained superfields of various types. In this framework, there is a dominant supersymmetry breaking sector which uplifts the potential to zero value. Other sources of supersymmetry breaking have (asymptotically) vanishing contribution to vacuum...
Role of Spirit in the Formation of Knowledge in Terms of Transcendent Wisdom
, M.Sc. Thesis Sharif University of Technology ; Hosseini, Hassan (Supervisor)
Abstract
One of issues of human in this time is questions about epistemology. Human sometimes faced with this qustion that "Is it any knowledge for human being". Sometime he or she answers this question: yes and search for any knowledge around him or her. In the context of philosophy of science these question are very imortant. In philosophy of science one of major question is how many of factors in science is subjective and how many is objective? It is obvious that one of solution to answer this question is investigation of factors that construct the knowledege. Furthermore in this thesis I try to answer that question in context of Hikmat' Motealieh. In this context all of factors that involved in...
Robust Optimization for Simulated Systems Using Risk Management and Kriging
, M.Sc. Thesis Sharif University of Technology ; Mahlooji, Hashem (Supervisor)
Abstract
Many simulation optimization problems are defined in random settings and their inputs have uncertainty. Therefore, in defining an optimal solution for these problems, uncertainties should be taken into account. The primary way of dealing with this , is Robust Optimization which finds solution immune to these changing settings. Aiming at finding a new approach for simulation optimization problems, this study investigates these uncertainties and robust methods. In the optimization problem, the goal and constraints are considered with separate risk measures and a related problem is defined as follows: Minimizing the weighted sum of all risks subject to the problem constraints. To solve the...
Investigation of Highly Concentrated Phenolic Wastewater Treatment in a Membrane Biological Reactor (MBR), and Evaluation of Furfural upon Phenol Biodegradation by an Acclimated Activated Sludge
, M.Sc. Thesis Sharif University of Technology ; Borghei, Mehdi (Supervisor)
Abstract
Phenolic compounds are hazardous pollutants that are released into environment through wastewater discharges from variety of industries. Although good biodegradability has been reported at low concentrations, but at higher concentrations phenols are known to be antibacterial. In this study the Membrane Biological Reactor (MBR) with submerged hallow fiber membrane was operated at 25±2 ºC and pH=7.5±0.5 to treat a synthetic wastewater containing high phenol concentration (up to 5.9 g/l). Removal efficiency of phenol and COD were evaluated at four various “Hydraulic Retention Times” (HRT) of 24, 12, 8 and 4 hours. To test the tolerance of the bioreactor to phenol concentration various loading...
Designing and Implementing a Cluster-based Energy-aware Routing Algorithm for Wireless Sensor Network
, M.Sc. Thesis Sharif University of Technology ; Miremadi, Ghasem (Supervisor)
Abstract
Wireless Sensor Networks (WSNs) consist of sensor nodes that are connected to each other and are widely used in many applications to acquire and process information. WSN nodes are battery powered, therefore energy management is a key factor for long live network. Node radio transceiver unit uses the most part of energy resource of the node and as a result limits the network lifetime. One way to prolong lifetime of network is to utilize routing protocols to manage energy consumption. To have an energy efficient protocol, we can apply cluster organization on the network, where sensor nodes are partitioned into groups called cluster. Then, the whole cluster data is sent through Cluster Head...
Radiative Mass Correction in Supersymmetric Field Theories and its Implications for Supersymmetry Phenomenology
, M.Sc. Thesis Sharif University of Technology ; Torabian, Mahdi (Supervisor)
Abstract
During years, supersymmetry has been a candidate for resolution of Higgs mass fine-tuning problem that is quadratic dependence of scalar mass radiative correction to UV-physics. So, supersymmetry phenomenology is of great importance. As accelerators have reached energy of 13 TeV in recent years and sparticles have not yet been observed, it is important to have a theory in hand, describing SUSY breaking dynamics with scale of SUSY breaking above the energies currently accessible to accelerators. As a result of mass-sum-rule constraint which holds in theories with spontaneous SUSY breaking at tree level and leads to light sparticles and even tachyonic directions, there are currently no...
Human Whole-Body Static 3D Posture Prediction in One- and Two-Handed Lifting Tasks from Different Load Positions using Machine Learning
, M.Sc. Thesis Sharif University of Technology ; Arjmand, Navid (Supervisor)
Abstract
Biomechanical models require body posture to evaluate the risk of musculoskeletal injuries during daily/occupational activities like manual material handling (MMH). The procedure to measure body posture via motion-analysis techniques is complex, time-consuming, and limited to equipped laboratories. This study aims to develop an easy-to-use yet accurate model that predict human whole-body static posture (3D body coordinates and anatomical joint angles) during different MMH activities. Twenty healthy male right-handed individuals with body mass index between 18 and 26 performed 204 symmetric and asymmetric MMH activities. Each person reached (i.e., without any load in hands) the destinations...
Topology optimization for manufacturability of Additive Manufacturing based on Deep Learning and Generative Adversarial Network
, M.Sc. Thesis Sharif University of Technology ; Khodaygan, Saeed (Supervisor)
Abstract
In recent years, Additive Manufacturing has been extensively used by various industries. These manufacturing processes produce components in a layer-by-layer manner; therefore, they do not impose any geometric constrains to engineers and provide designers with the freedom to design components. Nowadays, one of the primary goals of all industries is to utilize as few raw materials as possible; this way they can deal with the shortage of raw materials and improve their efficiency. Consequently, they implement topology optimization algorithms to design and produce their components. However, topology optimization algorithms result in complicated geometries that can only be fabricated by AM....
Swampland Conjectures and Their Implications for Cosmology and Particle Phenomenology
, Ph.D. Dissertation Sharif University of Technology ; Torabian, Mahdi (Supervisor)
Abstract
Effective theories compatible with quantum gravity have their specific features. These features are formulated within the framework of the Swampland program, in the form of Swampland conjectures. In this dissertation, we first briefly review some of the Swampland conjectures, their motivations, and implications. We then elaborate on our research aimed at better understanding these conjectures, and using them to gain a deeper insight into the properties of the universe. We proposed a bottom-up supergravity framework with string-inspired elements where the Higgs expectation value and the cosmological constant are correlated. In this paper, we studied the Higgs dynamics in nilpotent...
Life Cycle Assessment of the Integrated System of Anaerobic Digester and Solid Oxide Fuel Cell With Carbon Dioxide Absorption Approach for Organic Fraction of Municipal Solid Waste Treatment
, M.Sc. Thesis Sharif University of Technology ; Avami, Akram (Supervisor)
Abstract
Environmental pollution caused by human activities and advanced industrialization is an important problem in the modern era due to its toxic and adverse effects on the ecosystem and human health. Municipal solid waste, including food waste, is expected to increase due to increased urbanization, economic development, and population growth, while their bioconversion into value-added products can address this problem by reducing waste as well as minimizing dependence on fossil fuels and turn it into an opportunity. In this thesis, an integrated system is designed in which the organic fraction of municipal solid waste is converted into biogas through anaerobic digestion process, and after...
Design a Management Process of Special Wastes using Supercritical Water Considering Life Cycle Analysis
, M.Sc. Thesis Sharif University of Technology ; Avami, Akram (Supervisor)
Abstract
Oil sludge is the most important waste of the oil industry, which, due to its production, needs to be treated and managed properly. In this research, an integrated process of its gasification in supercritical water environment and Allam cycle is proposed. Then, the necessary investigations are done to purify the syngas to produce clean syngas with hydrogen of more than 40%. This plant is compared with an integrated gasification system and gas turbine in the second scenario. The life cycle analysis of these processes is examined from both environmental and economic aspects. The results show that by using the integrated process of synthesis gas and electricity production, from 841.875 kg/h of...