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    Improving QoS in Wireless Metropolitan Area Networks (WMANs) for Multimedia Applications

    , M.Sc. Thesis Sharif University of Technology Pishdad, Leila (Author) ; Rabiei, Hamid Reza (Supervisor)
    Abstract
    Multimedia applications which exploit the network resources are best provided in broadband networks. Additionally, broadband wireless access systems enable broadband access in places where the wired solutions are not applicable. The IEEE 802.16 standard is designed to provide broadband wireless access and addresses the PHY and MAC layers of wireless metropolitan area networks. This standard has been designed to support quality of service for different applications, and due to their various requirements has considered four classes of service for connections. However, quality of service support mechanisms (such as admission control and packet scheduling), are out of the scope of the standard.... 

    Applications of Hidden Markov Models in Activity Recognition in an Ambient Intelligent Environment

    , M.Sc. Thesis Sharif University of Technology Mirarmandehi, Nasim (Author) ; Rabiei, Hamid Reza (Supervisor)
    Abstract
    Ambient Intelligence (AmI) is an environment in which devices are embedded and connected to each other with a communication network, working in concert to predict users’ wishes according to the context of the environment (devices and people) to help them with their everyday activities. An ambient intelligent environment should be context-aware. One of the most complicated problems in context-aware computations is recognition of the activities in which users of the environment are engaged. These activities could be recognized by means of the information hidden in communication networks of the devices, especially different sensors embedded in the environment to ease up the process. Most of... 

    A Scheme for Improving Security in Peer-to-Peer Video Streaming Networks

    , M.Sc. Thesis Sharif University of Technology Toghia, Pezhman (Author) ; Rabiei, Hamid Reza (Supervisor)
    Abstract
    The improvments in computer networks and video compression techniques have motivated the network engineers to broadcast video over the Internet. Recently, Peer-to-Peer networks have been considered as a suitable way for video streaming. P2P networks are distributed and there’s no central management mechanism in them. In addition, video has a time-sensitive nature. Therefore, these networks are vulnerable to security attacks. Denial of Service attacks, attacks on the membership management mechanism, attacks on neighbors selection mechanism, selfish nodes and content pollution attacks are common attack on Peer-to-Peer Video Streaming networks. In a content pollution attack, one or several... 

    A Scheme for Scheduling Real-Time Traffic in IEEE 802.16 Networks

    , M.Sc. Thesis Sharif University of Technology Dabiran, Fatemeh (Author) ; Rabiei, Hamid Reza (Supervisor)
    Abstract
    The IEEE 802.16 is an emerging standard that provides broadband wireless access in metropolitan area networks. The standard facilitates desirable capabilities including mesh topologies and multimedia communications for users.In IEEE 802.16 based mesh networks, there is no explicit uplink and downlink subframes in the physical frame structure and the uplink and downlink traffic scheduling is done within a single time frame. A frame is divided into two subframes: the control subframe and the data subframe. The control subframe is used to carry control messages and the data subframe is used for forwarding data packets to the users.In the mesh mode, two scheduling mechanisms, called centralized... 

    A Complex Network Model for Video Streaming in P2P Networks

    , M.Sc. Thesis Sharif University of Technology Farzad, Amir (Author) ; Rabiei, Hamid Reza (Supervisor)
    Abstract
    Information Technology In the recent years, Peer-to-Peer Networking and Applications has received significant attention from both the Internet users and research area. One of the most successful Applications of P2P networks is streaming the video which is applicable in Internet TV. On the other hand, Complex networks describe a wide range of networked systems in technology, nature and society, such as Internet, WWW networks, P2P networks, biological networks and social interactions.In this thesis we focus on mesh-pull based streaming networks and our goal is to propose a complex network model for such a P2PIPTV topology. To reach to this aim we consider the microscopic processes on each node... 

    Active Learning in Image Retrieval

    , M.Sc. Thesis Sharif University of Technology Fadaee, Mohsen (Author) ; Rabiei, Hamid Reza (Supervisor)
    Abstract
    Image retrieval, simply put, is the process of finding images in a predefined set , that are similar to an image specified by the user. In particular, the user inputs an image as query, and expects to see images similar to the query. Our purpose is to retrieve the images, by means of visual features, without any use of latent information such as tags and annotations.Afer the first round of retrieval, the answers can become more accurate, by means of user feedbacks. In this state, using active learning methods may be usefull. By using active data selection, we hope to achieve the answer faster. Learning based on manifold assumption, is another means which may be used in image retrieval.... 

    Sampling in Large-Scale Complex Networks

    , Ph.D. Dissertation Sharif University of Technology Salehi, Mostafa (Author) ; Rabiei, Hamid Reza (Supervisor)
    Abstract
    Many real-world communication systems such as Internet, online social networks, and brain networks can be modeled as a complex network of interacting dynamical nodes. These networks have non-trivial topological features, i.e., features that do not occur in simple networks such as lattices or random networks. The tremendous growth of Internet and its applications in recent years has resulted in creation of large-scale complex networks involving tens or hundreds of millions of nodes and links. Thus, it may be impossible or costly to obtain a complete picture of these large networks, and sampling methods are essential for practical estimation of network properties. Therefore, in this thesis, we... 

    Analyzing Directed Functional Brain Networks Based On Electroencephalogram Data

    , M.Sc. Thesis Sharif University of Technology Afshari, Saeedeh (Author) ; Rabiei, Hamid Reza (Supervisor)
    Abstract
    Over the past few years, various studies have demonstrated that the complex networks can be used to model the structure and functions of human brain. Some of these studies indi- cated that diseases such as Alzheimer, Epilepsy, and Schizophrenia can cause changes in this network. The main idea behind the methods proposed to analyze human brain’s behav- ior, is to identify regions of the brain with specific tasks. Recent studies show that multiple regions of human brain are involved in complex activities, so it’s important to detect their interactions. Using functional high resolution multichannel neurophysiological signals, like electroencephalographic (EEG) and magnetoencephalographic... 

    Overlapping Community Detection in Dynamic Networks

    , M.Sc. Thesis Sharif University of Technology Ghorbani, Mahsa (Author) ; Rabiei, Hamid Reza (Supervisor)
    Abstract
    Nowadays, many entities and the relationships between them create different types of networks. Graphs are appropriate tools to model these networks. In a graph, nodes show individuals and edges show the relations between them. One of the most important research problems in the field of network analysis is community detection. In a network, a community is a group of nodes that has a lot of connections to the nodes inside the same group and a few to the ones which are outside. Community detection has many real world applications. Recommending items in recommender systems, detecting spy and terrorist groups and predicting future links between members in a social network are some examples where... 

    Extracting Cascaded Information Networks FromSocial Networks

    , M.Sc. Thesis Sharif University of Technology Eslami, Motahhare (Author) ; Rabiei, Hamid Reza (Supervisor)
    Abstract
    The diffusion process propagates information, viruses, ideas, innovations and new be-haviours over social networks. Adopting a new behaviour, which is mentioned as an in-fection, starts from a little group of people. Spreading it over more neighbors and friendscan result in an epidemic phenomenon over the network. As this infection propagates, aninformation cascade will be generated. The spread of information cascades over social net-works forms the diffusion networks. Although observing the infection time of a person ispossible, determining the source of infection is usually a difficult problem. Additionally, inmany applications we can not observe the underlying network which diffusion... 

    Structured Sparse Representation for Machine Learning and Signal
    Processing

    , Ph.D. Dissertation Sharif University of Technology Soltani Farani, Ali (Author) ; Rabiei, Hamid Reza (Supervisor)
    Abstract
    In this proposal we pursue structured sparse representations. Recent years have witnessed a tremendous growth in sparse modeling of natural signals. In this model a signal is represented as a linear combination of a few atoms from an often over-complete dictionary. The recent success of compressed sensing is intact due to the property that natural signals often admit sparse representations. Still, sparse representation in its simplest form sometimes fails to capture the intrinsic structure in natural signals. This structure may be embedded in the signal itself or in the relation between different signals of interest. The goal of this research proposal is to exploit the intrinsic structure in... 

    A Novel Context-Aware Model to Improve Quality of Recommender Systems

    , M.Sc. Thesis Sharif University of Technology Abbasi, Ali (Author) ; Rabiei, Hamid Reza (Supervisor) ; Jalili, Mahdi (Co-Advisor)
    Abstract
    As the amount of data on the Internet grows, users face diverse options while searching for their desired information and items. Therefore, accessing what one is looking for, is usually time consuming and even impossible in some cases. In order to solve this issue, the goal of recommender systems is to offer recommendations which are compatible with users’ needs and preferences. One of the most important challenges of recommender systems is to improve the quality of recommendations. Recommender systems’ quality can be assessed using different metrics including precision, novelty and coverage. However, these metrics are inconsistent in some applications and improving one will cause a decline... 

    Sparse Recovery in Peer to Peer Networks via Compressive Sensing

    , M.Sc. Thesis Sharif University of Technology Fattaholmanan Najafabadi, Ali (Author) ; Rabiei, Hamid Reza (Supervisor)
    Abstract
    Monitoring large-scale networks is a critical yet challenging task. Enormous number of nodes and links, limited power, and lack of direct acceß to the entire network,are the most important difficulties. In applications such as network routing,where all nodes need to monitor the status of the entire network, the situation is even worse. In this thesis, a collaborative model in which nodes pick up information from measurements generated by other nodes, is proposed. Considering the fact that in most cases the networked data is sufficiently sparse, we used the Compreßive Sensing theory in the recovery phase of the proposed method. Using this model, for the first time, an upper bound is derived... 

    Maximizing Spread of Influence in Social Networks

    , M.Sc. Thesis Sharif University of Technology Doroud, Mina (Author) ; Mahmoudian, Ebadollah (Supervisor) ; Rabiei, Hamid Reza (Co-Advisor)
    Abstract
    Social networks play a fundamental role as a media for the spread of inuence among its members. How people like to adopt innovation from their friends is known as word-of-mouth eect and has a long history of study in social science and recently in computer science and mathematics. In this context, The Inuence Maximization Problem is about nding initial active set of specic size in order to maximize the nal adoptions in the network through diusion of inuence. The optimization problem of the most inuential nodes selection is NPhard. As a result, some heuristic algorithms are needed to approximate the nal result. In this thesis some new heuristic algorithms were proposed with respect to... 

    Applying Network Coding in a Mesh-Based Peer-to-Peer Streaming Network

    , M.Sc. Thesis Sharif University of Technology Ayatollahi Tabatabaei, Hoda (Author) ; Khansari, Mohammad (Supervisor) ; Rabiei, Hamid Reza (Supervisor)
    Abstract
    The emerging peer-to-peer (P2P) networks become more popular among researchers in different applications such as file sharing, and video streaming. Since various P2P networks provide high performance and scalable interaction among peers, they are very efficient in designing distributed multimedia applications such as live streaming, IPTV, VoIP, and multimedia broadcasting. In order to improve the network throughput and downloading performance of P2P networks for multimedia streaming, network coding is a technique which can be used for these purposes. In this thesis, we propose a peer-to-peer (P2P) video streaming protocol which presents an implementation of network coding technique. The... 

    An Incentive Mechanism for Peer to Peer Push-Pull Live Video Streaming Systems

    , M.Sc. Thesis Sharif University of Technology Mohammadifar, Amir Ali (Author) ; Khansari, Mohammad (Supervisor) ; Rabiei, Hamid Reza (Supervisor)
    Abstract
    Peer to peer networks and especially peer to peer live video streaming systems are becoming more and more popular these days. To disseminate the video chunks in a live P2P video streaming system all users should contribute in uploading the video chunks; however there are some selfish peers who tend to download video chunks from the network while they do not upload any data to the network; these peers are called free-riders. With incorporating the incentive mechanisms in peer to peer live video streaming systems the chance of free-riders to get the full video or the video with the intended quality will be very low. In this research we propose a push-pull live video streaming system with a... 

    Automatic Analysis and Tracking of Motile Cells in Video Microscopy

    , M.Sc. Thesis Sharif University of Technology Shayegh, Zahra (Author) ; Vosughi Vahdat, Bijan (Supervisor) ; Rabiei, Hamid Reza (Supervisor) ; Salman Yazdi, Reza (Co-Advisor)
    Abstract
    Analysis of semen and quality assessments of sperm cells is of great importance in scrutiny of male fertility. Several methods have been introduced for analyzing and identification of the sperm motility and morphology in a semen sample. Identifying and tracking of rapid and variant movements of multiple sperms, in a short duration of time, is somewhat difficult and complex for human, even for an expert. Then applying semi-automated or automated (un-supervised) methods, based on image analysis and computing, spread fast and computer aided semen analyzer systems, became wildly used in clinical and research laboratories.
    In this paper we propose an efficient multiple tracking methods to... 

    Synthesis & Characterization of Au-HKUST-1 Nanocomposite and Evaluation of Plasmonic Properties of Gold Nanoparticles in this Nanocomposite

    , M.Sc. Thesis Sharif University of Technology Moazzeni, Hamid Reza (Author) ; Madaah Hosseini, Hamid Reza (Supervisor)
    Abstract
    In the past few years, many research works on the controllable integration of metal nanoparticles and metal-organic frameworks were done, since the obtained composite material shows a synergism effect in catalysis and photocatalysis, drug delivery applications, gas, and energy storage, as well as sensing. For the first time, in this study, we employed template-assisted growth to synthesize Au-HKUST-1 Nanocomposite. XRD analysis entirely confirms that employing this strategy in synthesizing Au-HKUST-1 was wholly successful, and the plasmonic properties of this nanostructure were studied via UV-visible spectroscopy. In the course of synthesis, gold nanoparticles with 70nm diameter were... 

    Identification of the Set of Single Nucleotide Variants in Genome Responsible for the Differentiation of Expression of Genes

    , M.Sc. Thesis Sharif University of Technology Khatami, Mahshid (Author) ; Rabiee, Hamid Reza (Supervisor) ; Beigi, Hamid (Supervisor)
    Abstract
    Single nucleotide polymorphs, There are changes caused by a mutation in a nucleotide in the Dena sequence. Mononucleotide polymorphisms are the most common type of genetic variation. Some of these changes have little or no effect on cells, while others cause significant changes in the expression of cell genes that can lead to disease or resistance to certain diseases. Because of the importance of these changes and their effect on cell function, the relationships between these changes are also important. Over the past decade, thousands of single disease-related mononucleotide polymorphisms have been identified in genome-related studies. Studies in this field have shown that the expression of... 

    Live Layered Video Streaming over Multichannel P2P Networks

    , M.Sc. Thesis Sharif University of Technology Ghalebi, Elahe (Author) ; Rabiee, Hamid Reza (Supervisor)
    Abstract
    Nowadays, video streaming over peer-to-peer networks has become an interesting field to deliver video in large scale networks. As multi-channel live video streaming networks increase,distributing video with high quality among channels faces many challenges. The most significant challenges cause from frequent channel churns, unbalanced channel resources, network heterogeneity and diversity of users’ bandwidths. They include: nodes’ unstability, low users participations, large startup and playback delays, low video quality received by users and lack of resources in unpopular channels.In order to solve the above problems, we have proposed several solutions such as: 1- using distribution groups...