Loading...
Search for:
mir-mohseni--mahtab
0.14 seconds
Total 226 records
QoS-aware Dynamic Cache Updating Policies in a Wireless CDN
, M.Sc. Thesis Sharif University of Technology ; Ashtiani, Farid (Supervisor) ; Mir-Mohseni, Mahtab (Supervisor)
Abstract
Caching is the process of storing part of popular contents near the users, which not only results in better traffic balance, but also reduces the delay of content delivery. Due to limited cache capacities and time-varying nature of contents popularity, using a proper replacement policy for cached contents during the heavy traffic hours is necessary. Many of the existing methods have ignored the dynamics of requests. Also, most of the previous works have focused on parameters other than QoS characteristics as the performance metric.We propose a cache updating policy for wireless networks considering dynamic popularity for file requests. Our model is a wireless heterogeneous network consisting...
Distributed Cache Management Using Reinforcement Learning based Strategies
, M.Sc. Thesis Sharif University of Technology ; Mir Mohseni, Mahtab (Supervisor) ; Maddah Ali, Mohammad Ali (Supervisor)
Abstract
Nowadays, video on demand causes a drastic increase in network traffic that it is expected that network traffic surpasses 45 exabytes per month until 2022; consequently, utilizing distributed memories known as caches across the network to alleviate the communication load during peak hours is inevitable. Coded caching is a promising approach to mitigate and smooth traffic during peak hours in the communication network in a way that it creates coded multicasting opportunities in addition to delivering content to users locally. However, it suffers from imposed delay resulting from coding that makes this approach infeasible for delay-sensitive contents, namely video streaming applications. So...
Applications of Statistical Learning in Dynamic Pricing
, M.Sc. Thesis Sharif University of Technology ; Haji Mir Sadeghi, Mir Omid (Supervisor)
Abstract
In the era of the internet and with the emergence of online stores, the possibility of changing prices for these e-commerce platforms has become simple and virtually cost-free. This allows them to adjust prices optimally in response to environmental and surrounding factors, maximizing their revenue from product sales. This development has led to numerous applications of statistical learning methods, particularly online learning, in these markets. In this thesis, we explore the issue of online pricing from various perspectives. One aspect is that product pricing is based on their features, which can be numerous. This leads us to the use of online learning methods and statistical learning in...
Energy Harvesting and Energy Cooperation in Competitive Interference Channel
, M.Sc. Thesis Sharif University of Technology ; Mirmohseni, Mahtab (Supervisor)
Abstract
Energy Harvesting is one of the techniques which can be utilized in Green Communications and increase the wireless networks lifetime. In an EH system, each resource is supplied with the energy harvested from the environment. When we confront with a situation that the users of one channel want to increase their rates and this action negatively affects the other user’s rates, the user’s cooperation problem for obtaining a fair rate will be created. In this study, at first we consider a Multiple Access Channel and we assume that the energy resources of transmitters are harvested according to a known probability. In addition, we assume that the transmitters do not know the instantaneous amount...
Secure Transmission Strategies in Massive MIMO Systems in Presense of a Jammer
, M.Sc. Thesis Sharif University of Technology ; Mirmohseni, Mahtab (Supervisor)
Abstract
Massive MIMO systems are systems, where the base station has many number of antenna so each user’s channel is orthogonal to one another.These systems have some valuable advantages such as reduction of energy needed for transmission and significant improvement in spectral efficiency, which makes them be suitable for next generation of wireless communication systems. Another advantage of Massive MIMO systems is inherent resistance against passive eavsdroppers due to having a directed power radiation in direction of the desired user. However another physical layer attack threat these systems: attacking in pilot phase then eavsdropping in downlink phase which must taken care of in physical...
Physical Layer Security in Non-Orthogonal Multiple Access (NOMA) Networks
, M.Sc. Thesis Sharif University of Technology ; Mirmohseni, Mahtab (Supervisor)
Abstract
The increasing expansion of wireless communications and the increase in information traffic and the number of communication users, and on the other hand, the frequency and energy frequency limitations have led to the emergence of new generation communications. In the fifth generation of communications, one of the solutions to ensure the optimal use of bandwidth is the use of the non-orthogonal multiple access (NOMA) schema, which of course, the use of such a scheme in the system naturally increases the complexity of the receivers. Unlike most access methods in previous generations of communications, the goal of NOMA is the simultaneous use of multiple users from a frequency band for data...
Information Theoretic Strategies in Private Distributed Hypothesis Testing
, M.Sc. Thesis Sharif University of Technology ; Mirmohseni, Mahtab (Supervisor)
Abstract
The problem of distributed binary hypothesis testing in the Gray-Wyner network with side information is studied in this dissertation. An observer agent has access to a discrete memoryless and stationary source and describes its observation to two detecting agents via one common and two private channels. The channels are considered error-free but rate-limited. Each detecting agent also has access to its own discrete memoryless and stationary source, i.e., the side information. The goal is to perform two distinct binary hypothesis testings on the joint distribution of observations at detecting agents. Additionally, the observing agent aims to keep a correlated latent source private against 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...