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    Some Graphs Associated with Groups

    , M.Sc. Thesis Sharif University of Technology Rahimi Rad, Saman (Author) ; Akbari, Saeed (Supervisor)
    Abstract
    In this thesis we ascribe a one graph to groups and investigate the relations between groups structure and graph. Let G be a group. The prime index graph of G, denoted by π(G), is the graph whose vertex set is the set of all subgroups of G and two distinct comparable vertices H and K are adjacent if and only if the index of H in K or the index of K in H is prime.Also, The intersection graph of G denoted by Γ(G), is the graph whose vertex set is the set of all non-trivial proper subgroups of G and two distinct vertices H and K are adjacent if and only if H ⋂ K≠ {e}, where e denoted the identity element of G. We denote the complement of Γ(G) by Λ(G). In this thesis we consider the following... 

    Critical Behavior of Neuronal Systems: an Information Theory Viewpoint

    , M.Sc. Thesis Sharif University of Technology Soltani, Miaad (Author) ; Moghimi, Saman (Supervisor)
    Abstract
    Experiments conducted in recent two decades indicated critical behavior in neural activity at different scales. Theoretically occurrences of these critical and power-law behavior can significantly facilitate brain activities correspondent to computation and memory tasks, but attaining the critical point essentially demands externally fine-tuning which has not been established yet. This fine-tuning often lies with placing system at transition point. Recent studies of group showed that a transition from synchronous to asynchronous phase could be achievable by a change in external parameters. At the very transition point, neuronal avalanches statistically demonstrate a power-law behavior which... 

    Inverse design of supersonic diffuser with flexible walls using a Genetic Algorithm

    , Article Journal of Fluids and Structures ; Volume 22, Issue 4 , 2006 , Pages 529-540 ; 08899746 (ISSN) Ziaei-Rad, S ; Ziaei-Rad, M ; Sharif University of Technology
    2006
    Abstract
    An efficient algorithm for the design optimization of the compressible fluid flow problem through a flexible structure is presented. The methodology has three essential parts: first the behavior of compressible flow in a supersonic diffuser was studied numerically in quasi-one-dimensional form using a flux splitting method. Second, a fully coupled sequential iterative procedure was used to solve the steady state aeroelastic problem of a flexible wall diffuser. Finally, a robust Genetic Algorithm was implemented and used to calculate the optimum shape of the flexible wall diffuser for a prescribed pressure distribution. © 2006 Elsevier Ltd. All rights reserved  

    Low Grade Heat Driven Multi-Effect Distillation and Desalination

    , Book Rahimi, Bijan ; Chua, Hui Tong
    Elsevier  2017
    Abstract
    Low Grade Heat Driven Multi-effect Distillation and Desalination describes the development of advanced multi-effect evaporation technologies that are driven by low grade sensible heat, including process waste heat in refineries, heat rejection from diesel generators or microturbines, and solar and geothermal energy. The technologies discussed can be applied to desalination in remote areas, purifying produced water in oil-and-gas industries, and to re-concentrate process liquor in refineries.
    This book is ideal for researchers, engineering scientists, graduate students, and industrial practitioners working in the desalination, petrochemical, and mineral refining sectors, helping them... 

    Sandpiles and Surface Growth

    , M.Sc. Thesis Sharif University of Technology Shahoei, Rezvan (Author) ; Moghimi Araghi, Saman (Supervisor)
    Abstract
    We study the Abelian Sandpile Model and its relation with surface growth. ese two models are related through their field theories and equations of motion. It has been shown that the different features of different sandpile models can be expressed in terms of the noise term in the surface growth equation. A mapping between the simplest sandpile model, the BTW model, and a surface growth has already been introduced. is surface growth has not been studied in details so far. In this thesis we study different features of this surface growth corresponding to the BTW model, continuous sandpile model and also massive abelian sandpile model. We also consider different boundary conditions  

    The Abelian Sand-pile Model (ASM) and Generalization to the Continuous State

    , M.Sc. Thesis Sharif University of Technology Lotfi, Ehsan (Author) ; Moghimi Araghi, Saman (Supervisor)
    Abstract
    The four-page article by Bak, Tang and Wiesenfeld in 1987 was a beginning to a new wave of physicists’ efforts to explain and describe the concept of complexity; a not-so-well-defined concept that resists against the reductionist tools and methods of physics. The Self-organized Criticality theory presented in that article via a simple model, known as sandpile model, was first of all an effort to explain the numerous occurrence of power law distribution in nature. SOC was introduced to tell us why so many natural phenomena like Earthquakes, landslides, forest fires, extinction and other seemingly non-related catastrophic events, more or less obey the scale-less power law distribution; A... 

    Transition from Abelian Sandpile Model to Manna Model

    , M.Sc. Thesis Sharif University of Technology Asasi, Hamed (Author) ; Moghimi-Araghi, Saman (Supervisor)
    Abstract
    In this research, we want to address the question of universality classes in BTW and Manna sandpile models. So far, number of works has been devoted to this issue but the the answer remained unsolved. We will try another approach to study this question by perturbing the original models. To this end, we introduce three models that have evolution rules between BTW model and Manna model. By simulating this models, we observe that in the presence of perturbation, the probability dis- tribution has two regimes of behaviour which are separated by a new characteristic scale. The regime of small avalanches is described by the exponent of BTW model and the regime of large avalanches by the exponent... 

    Generalized Growth Models

    , M.Sc. Thesis Sharif University of Technology Imani, Shima (Author) ; Moghimi-Araghi, Saman (Supervisor)
    Abstract
    Edwards-Wilkinson’s equation can be achieved from a Hamiltonian. When we have the Hamiltonian for the system, there are common approaches that makes it out of critical. In other words,the ”mass” should be added to the system. In this study we have tried to simulate and solve analytically these models that are involved mass term. We try to onstruct these mass terms in a way that have a minimum impact on the system and we study the quantities that characterize the out of critical behaviors  

    Percolation on Small World Networks

    , M.Sc. Thesis Sharif University of Technology Masoomi, Razie (Author) ; Moghimi Araghi, Saman (Supervisor)
    Abstract
    Percolation is a phenomenon that can be found in many physical problems. Additionally, as a statistical model, it has a very rich physics, since many fundamental concepts in the context of critical phenomena and complex systems-such as phase transition, scaling laws etc can be found in the model. Percolation phenomenon can be defined on different lattices. In this thesis we study percolation on small-world networks. In small-world networks, in addition to local bonds that connects the neighbouring sites, there exist some long-ranged bonds that connect cites far from each other. Social networks, some networks of internet or the gene networks are examples of such networks. Therefore, to study... 

    Chaos in Sandpile Models With and Without Bulk Dissipation

    , M.Sc. Thesis Sharif University of Technology Mollabashi, Ali (Author) ; Moghimi-Araghi, Saman (Supervisor)
    Abstract
    A complte set of characteristic parameters of the sandpile models is still unknown. We have studied the existence of ”weak chaos” critical exponent in different sandpile models and we have shown that it is a characteristic exponent of deterministic models. We have shown that BTW and Zhang models do not belong to the same universality class (contrary to Zhang’s previous conjecture and contrary to Ben-Hur & Biham’s results.) Also we have shown that directed models, specificly Ramaswamy-Dhar’s directed model form a different universality class. ”Weak chaos” exponent in also studied in massive models and we have shown that by increase of dissipation, the exponent decreases rapidly to an... 

    Simulation of the Self-organized Critical Models on the
    Human’s Brain Network

    , M.Sc. Thesis Sharif University of Technology Shokouhi, Fatemeh (Author) ; Moghimi Araghi, Saman (Supervisor)
    Abstract
    Self-organized critical phenomena are interesting phenomena which are ubiquitous in nature. Examples include mountain ranges , coastlines and also activities in the hu-man's brain. In these processes, without fine-tuning of any external parameter such as the temperature, the system exhibits critical behavior. In other words, the dynamics of the system, drives it towards an state in which long range correlations in space and scaling behaviors can be seen.The first successful model which could characterize such systems was BTW model, introduced by Bak , Tang and Wiesenfeld in 1987. This model, later named Abelian sandpile model, was very simple and because of this simplicity, a large amount of... 

    Fluctuations in the order of System Size in the Avalanche-Size Distribution of Sandpiles Model

    , M.Sc. Thesis Sharif University of Technology Saadat, Elaheh (Author) ; Moghimi Araghi, Saman (Supervisor)
    Abstract
    Since the concept of Self-Organized Criticality was introduced in terms of BTW Sandpiles model, its major features have been known as broad power law distributions without any tuning parameters. In some selforganized critical systems like brain and neural networks, some evidences and experiments show a periodic or non-power law distribution of avalanches in addition to the power-law distributions of avalanches. In this thesis we try to observe the same phenomenon in the well-known SOC models, namely the BTW and Manna sandpile models. We have considered small lattice sizes with periodic boundary conditions and a small amount of dissipation. Within such conditions we observe a periodic-like... 

    Burridge-Knopoff Model with Nonuniform Parameters

    , M.Sc. Thesis Sharif University of Technology Shahin, Ali (Author) ; Moghimi-Araghi, Saman (Supervisor)
    Abstract
    Power law behavior of earthquakes has been a matter of interest for many scientists. One on these power laws known as Gutenberg-Richter law describes the magnitude distribution of earthquakes. The Burridge-Knopoff model of faults, produces the same power law distribution of events as the Gutenberg-Richter law for earthquakes. Olami, Feder and Christensen in 1992, introduced a 2-D, continues sand pile model Known as OFC that displays self-organized-criticality. They claimed that this model is equivalent to Burridge-Knopoff model. It means that criticality is the origin of power law behavior of the Burridge-Knopoff model. Nevertheless, there are some evidence against criticality in the... 

    Mullins-Herring Equation with Lateral Growth

    , M.Sc. Thesis Sharif University of Technology Ghamari, Danial (Author) ; Moghimi Araghi, Saman (Supervisor)
    Abstract
    Surface growth have been one of the most interesting topics of research in non-equilibrium Statistical physics, due to their relevance in studying industrial growth processes. Many models such as Edwards-Wilkinson and KPZ have been proposed to study these systems where by incorporating renormalization group, numerical integration and computer simulations we can derive their critical exponents. In general, a thermal noise is implemented in these models, however, other types can be used as well. In particular for the case of Edwards-Wilkinson, it has been shown that a multiplicative noise changes the universality class of the model. In this thesis we want to investigate the effects of... 

    The Role of Simplified Models for Neurons in the Emergence of Collective Behaviors in Neuronal Populations

    , M.Sc. Thesis Sharif University of Technology Hosseini, Nafiseh (Author) ; Moghimi Araghi, Saman (Supervisor)
    Abstract
    The brain, as a complex system with various components working in concert, plays a fundamental role in many cognitive processes and human perception of the surrounding environment. Perception, in many cases, can differ from reality due to evolutionary processes, natural selection, or even flaws in any of the parameters within this complex intelligent system. One of the observed phenomena in perception is the heightened visibility of edges, often depicted with Mach bands. To describe this phenomenon, primarily, rate models are used, especially in regions where a linear approximation is suitable for neuronal responses. However, the response of neuronal populations in a range of external... 

    Investigating Scaling Behaviour of Avalanches in Sandpiles on Small-World Networks Using the Renormalization Approach

    , M.Sc. Thesis Sharif University of Technology Moammar, Sina (Author) ; Moghimi Araghi, Saman (Supervisor)
    Abstract
    The Manna sandpile model is a significant and widely-used model in the study of self-organized criticality. Various avalanche-related quantities, such as area, size, duration, and others, exhibit power-law distributions with finite-size effects. It has been demonstrated that this model exhibits simple monofractal behavior on both regular lattices and random networks, and the finite-size scaling (FSS) hypothesis holds for the avalanche distribution functions. On the other hand, it has been observed that a wide range of natural and human-made networks are small-world networks. Consequently, studying the Manna sandpile model on such networks and understanding its features and behavior can... 

    Studying Continuum Percolation Models using Gap Scaling Approach

    , M.Sc. Thesis Sharif University of Technology Kamkar, Marziyeh (Author) ; Moghimi Araghi, Saman (Supervisor)
    Abstract
    Percolation is a fundamental topic in statistical physics with applications in modeling natural phenomena such as the spread of diseases and forest fires. It describes a geometric phase transition in which a system evolves from small-scale connectivity to extensive connectedness. At the percolation threshold, the system undergoes a continuous phase transition, exhibiting critical behavior. A recent study introduced a novel method for determining the percolation threshold by measuring the maximum change in the size of the largest cluster during the gradual increase of a control parameter. This maximum change, known as the ”gap,” signals the occurrence of the phase transition. The study also... 

    Analysis and data-based reconstruction of complex nonlinear dynamical systems : using the methods of stochastic processes

    , Book Rahimi Tabar, M. Reza
    Springer International Publishing  2019
    Abstract
    This book focuses on a central question in the field of complex systems: Given a fluctuating (in time or space), uni- or multi-variant sequentially measured set of experimental data (even noisy data), how should one analyse non-parametrically the data, assess underlying trends, uncover characteristics of the fluctuations (including diffusion and jump contributions), and construct a stochastic evolution equation?
    Here, the term "non-parametrically" exemplifies that all the functions and parameters of the constructed stochastic evolution equation can be determined directly from the measured data.
    The book provides an overview of methods that have been developed for the analysis of... 

    Production planning problem with pricing under random yield: CVAR criterion [electronic resource]

    , Article Journal of Systems Science and Systems Engineering ; 2014 Eskandarzadeh, S. (Saman) ; Eshghi, Kourosh ; Modarres Yazdi, Mohammad ; Bahramgiri, Mohsen ; Sharif University of Technology
    Abstract
    In this paper, we address a basic production planning problem with price dependent demand and stochastic yield of production. We use price and target quantity as decision variables to lower the risk of low yield. The value of risk control becomes more important especially for products with short life cycle. This is because, the profit implications of low yield might be unbearable in the short run. We apply Conditional Value at Risk (CVaR) to model the risk. CVaR measure is a coherent risk measure and thereby having nice conceptual and mathematical underpinnings. It is also widely used in practice. We consider the problem under general demand function and general distribution function of... 

    Tipping Cascades in Complex Networks: Dynamics and Control

    , M.Sc. Thesis Sharif University of Technology Shahrabi, Ali (Author) ; Rahimi Tabar, Mohammad Reza (Supervisor)
    Abstract
    Tipping points occur in diverse systems in various disciplines such as ecology, climate science, economy, sociology, and engineering. Critical thresholds in system parameters or state variables at which a tiny perturbation can lead to a qualitative change in the system exist in many subsystems in complex systems. These thresholds are called tipping points, and these subsystems are called tipping elements. Additionally, many systems with tipping points can be modeled as networks of coupled multistable subsystems. Domino-like tippings are called tipping cascades. Considering that these tipping cascades are primarily unprecedented, it is essential to study the dynamics and control of these...