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    An introductory course on differentiable manifolds

    , Book Shashahani, Siavash
    Dover Publications, Inc  2016
    Abstract
    Based on author Siavash Shahshahani's extensive teaching experience, this volume presents a thorough, rigorous course on the theory of differentiable manifolds. Geared toward advanced undergraduates and graduate students in mathematics, the treatment's prerequisites include a strong background in undergraduate mathematics, including multivariable calculus, linear algebra, elementary abstract algebra, and point set topology. More than 200 exercises offer students ample opportunity to gauge their skills and gain additional insights.
    The four-part treatment begins with a single chapter devoted to the tensor algebra of linear spaces and their mappings. Part II brings in neighboring points to... 

    P - Adic L Functions

    , M.Sc. Thesis Sharif University of Technology Sanjari, Ali (Author) ; Shahshahani, Siavash (Supervisor)
    Abstract
    Using interpolation and starting with Bernoulli numbers, posed by Leopold and Kubota, the aspect of adic function was constructed as adic analogues of the Dirichlet functions.Studing Galois module theory of ideal class group and his favorite structure extensions and modules related to them,Iwasawa found a new method for constructing adic functions by using Stickelberger’s elements.These results wich established by Iwasawa are known as Iwasawa Theory and they have many application in Algebriac Number Theory. Iwasawa’s most remarkable disconvry is the facet that at least in some important cases, there is a similar deep algebraic and analytic dichotomy in arithmetic of extensions. A... 

    The Evolution of a Geometric Space in in the Nineteenth Century

    , M.Sc. Thesis Sharif University of Technology Karimi, Ehsan (Author) ; Shahshahani, Siavash (Supervisor)
    Abstract
    The meaning and the nature of space and it’s essential properties seems to be one of the oldest problems which has been continuing to occupy human’s mind during centuries. It can be counted as a common ground between philosophy, mathematics, physics and even art. However this thesis concentrates on the philosophical and mathematical attitudes, neglecting the other aspects of the issue. Prima facie, it appears that the concept of space is essentially mingled with geometry, the science which seems to investigate the essentials of space. Taking it for granted, Kant regarded space, and so Euclidean geometry which dominates it, as an indispensible and necessary structure of the human’s mind.... 

    Analysis of Airborne Particulate Matter Toxicity and its Origin

    , M.Sc. Thesis Sharif University of Technology Sabet, Masoud (Author) ; Erhami, Mohammad (Supervisor)
    Abstract
    Epidemiological studies have shown a positive association between particulate matters exposure and adverse health effects. However, the insufficient knowledge about the influences of components or characteristics of these particles on their health effects and toxicity leads into inefficient control practices for reducing particulates health effects. So, relationship between particles toxicity and their emission sources and components is a valuable criterion in particle emission control strategies. Moreover, as people spend most of their time in indoor environment, investigating the main sources and components of particulate toxicity in indoor environment and finding the influence of outdoor... 

    Traffic State Prediction via Macroscopic Fundamental Diagram in an Urban Network

    , M.Sc. Thesis Sharif University of Technology Sabet, Saba (Author) ; Nassiri, Habibollah (Supervisor)
    Abstract
    The road authorities of a city have the responsibility of constantly assessing how well their city performs when traffic conditions are taken into account. In many metropolises around the world, if not taken preventive measures, there will be observed a density above the network capacity and a noticeable decrease in the level of service, especially in the morning and evening peak hours. Also, the dynamic congestion pricing of certain areas based on the traffic condition has always been considered significant by urban planning officials. Since this is not possible except by constantly assessing the current traffic state, a variety of methods have been used to predict the future traffic... 

    Exploiting structural information of data in active learning

    , Article Artificial Intelligence and Soft Computing: Lecture Notes in Computer Science ; Volume 8468 LNAI, Issue PART 2 , 2014 , Pages 796-808 Shadloo, Maryam ; Beigy, Hamid ; Haghiri, Siavash ; Sharif University of Technology
    2014
    Abstract
    In recent years, the active learning algorithms have focused on combining correlation criterion and uncertainty criterion for evaluating instances. Although these criteria might be useful, applying these measures on whole input space globally may lead to inefficient selected instances for active learning. The proposed method takes advantage of clustering to partition input space to subspaces. Then it exploits both labeled and unlabeled data locally for selection of instances by using a graph-based active learning. We define a novel utility score for selecting clusters by combining uncertainty criterion, local entropy of clusters and the factor of contribution of each cluster in queries.... 

    Increasing BIOS Trust in Personal Computers Using Reconfigurable Devices

    , M.Sc. Thesis Sharif University of Technology Eslampanah, Marziye (Author) ; Bayat Sarmadi, Siavash (Supervisor)
    Abstract
    Due to the expansion of digital system threats, trusted computation with a new approach for countering such threats has emerged. This approach is based on using a hardware module for implementing a trusted platform (TPM). TPM includes a chipset and the trusted systems core. Nowadays many of mobile computers do include this technology. This hardware creates trust using a trust chain and expanding this trust to other parts of the system. The starting point in this chain is the computer BIOS. BIOS is the first code that the system usually executes. One of the most powerful recent attacks on computer systems is to infect the BIOS and other firmware. One of such complicated attacks is the rootkit... 

    Performance Evaluation of Physical Unclonable Functions and Proposing a Scheme on FPGA

    , M.Sc. Thesis Sharif University of Technology Ramezani, Alireza (Author) ; Bayat-Sarmadi, Siavash (Supervisor)
    Abstract
    In recent years, in addition to traditional cryptographic blocks, a hardware blocks in this work namely PUF, has been used mostly for chip ID generation, authentication and so on. In this work we study recent proposed PUFs and their implementations on FPGA, and the measurement of quality metrics on them. Some of most important characteristics of PUFs are unpredictability, reliability, number of challenge response pairs and area. According to experiments that have been performed in this study and also according to previous work, one high-quality PUF in term of uniqueness and reliability is Ring Oscillator PUF. However, the disadvantage of this PUF is small number of challenge and response... 

    A Trusted Design Platform for Trojan Detection in FPGA Bitstreams Using Partial Reconfiguration

    , M.Sc. Thesis Sharif University of Technology Shekofteh, Nastaran (Author) ; Bayat-Sarmadi, Siavash (Supervisor)
    Abstract
    Hardware Trojans have emerged as a major concern for integrated circuits in recent years. As a result, detecting Trojans has become an important issue in critical applications, such as finance and health. In this work, a trusted platform for detecting Trojans in FPGA bitstreams is presented. The proposed methodology takes advantage of increased Trojan activation, caused by transition aware partitioning of the circuit, while it benefits partial reconfiguration feature of FPGAs to reduce area overhead. Simulation results, performed for the transition probability thresholds of 〖10〗^(-4) and 〖2×10〗^(-5), show that this method increases the ratio of the number of transitions in the Trojan... 

    Implementation of an IoT Edge Computing Module in Compliance with TPM Standards

    , M.Sc. Thesis Sharif University of Technology Hasanizadeh, Parisa (Author) ; Bayat Sarmadi, Siavash (Supervisor)
    Abstract
    Cloud computing has a significant role in expanding applications of the Internet of Things (IoT). Currently, applications such as virtual reality and augmented reality require low latency, which is not achievable using traditional cloud computing in some scenarios. Edge computing is a new approach in IoT, which solves some of the limitations of the cloud computing by extending and developing its operations. Reducing response time and network traffic are some of the most important achievements of edge computing. Despite of its numerous advantages over cloud computing, edge computing faces serious challenges such as virtualization, implementation infrastructure, resource allocation and task... 

    Improving Remote Attestation Techniques for IoT Devices using Physical Model

    , M.Sc. Thesis Sharif University of Technology Salehi, Mohsen (Author) ; Bayat Sarmadi, Siavash (Supervisor)
    Abstract
    Due to the widespread growth in the use of IoT devices, authors consider these devices as an attractive target platform. Several approaches have been proposed to defend IoT devices against various attacks. However, most of them suffer from some shortcomings such as being computationally expensive, not being general, or not being robust enough.Due to the attacks such as firmware modification and the existence of computational limitations, the use of local approaches is inefficient. Another approach is to use remote attestation techniques, which are divided into two categories, static and dynamic. However, static detection techniques are vulnerable to runtime attacks. Furthermore, existing... 

    Customizing a Privacy-Preserving Blockchain-Based Distributed Ledger for Second-Price Auction Smart Contract

    , M.Sc. Thesis Sharif University of Technology Mirzaei, Amir (Author) ; Bayat Sarmadi, Siavash (Supervisor)
    Abstract
    A distributed ledger is a method of digital data storage and sharing in different places, and the blockchain technology is a way of implementing a distributed ledger. This technology has been employed in many of the cryptocurrencies like Ethereum to store transactions. In addition to storing transactions, Ethereum deploys scripts called smart contracts that are automatically executable. These scripts execute transparently and without preserving the privacy of participants. On the other hand, confidentiality and privacy are among the important components in data, network, and system security. Models such as Hawk and Enigma have been presented to obtain privacy-preserving in smart contracts;... 

    Network Traffic Reduction in Internet of Things Using Reconfigurable Cache based on Workload Characterization

    , M.Sc. Thesis Sharif University of Technology Rezaei, Rezvan (Author) ; Bayat Sarmadi, Siavash (Supervisor)
    Abstract
    Nowadays, with the advancement of internet of things, The number of nodes within the network has increased and there is huge traffic in these networks despite the small volume of data sent and received each node. The current architecture of the Internet network does not have the functionality required for Internet of things, as a result of designing a new architecture for Internet - based Internet of things. Content - based network is a new architecture introduced to the Internet, and its purpose is to change the network from host-centric to content-centric. One of the features of content-based networks is the use of in network caching that helps increase productivity and reduce the traffic... 

    Efficient Implementation of Post-Quantum Cryptography Based on Learning with Errors

    , Ph.D. Dissertation Sharif University of Technology Ebrahimi, Shahriar (Author) ; Bayat Sarmadi, Siavash (Supervisor)
    Abstract
    Public key encryption (PKE) cryptography plays a big role in securing communication channels of internet. The security of every PKE scheme is usually based on a hard problem that has no polynomial time solution using any computational structure. However, widely used classic PKE schemes such as RSA or ECC, are based on hard problems that have polynomial solutions using a quantum computer. Therefore, such PKE schemes will not be secure in post-quantum era. Among quantum-resistant schemes, lattice-based cryptography and especially learning with errors (LWE) problem have gained high attention due to their low computational complexity. In this thesis, different LWE-based cryptosystems are... 

    Hardware Acceleration of Convolutional Neural Networks by Computational Prediction

    , M.Sc. Thesis Sharif University of Technology Sajjadi, Pegahsadat (Author) ; Bayatsarmadi, Siavash (Supervisor)
    Abstract
    Recently, Convolutional neural networks (CNNs) are widely used in many artificial intelligence applications such as image processing, speech processing and robotics. The neural networks superior accuracy comes at the cost of high computational complexity. Recent studies show that these operations can be performed in parallel. Therefore, as graphic processing units (GPUs) offer the best performance in terms of computational power and throughput, they are widely used to implement and accelerate neural networks. Nevertheless, the high price and power consumption of these processors have resulted in drawing more attraction towards Field-Programmable Arrays (FPGAs). In order to improve resource... 

    Parameters Identification for Mathematical Model of The Fission Yeast Cell Cycle Using Genetic Algorithm

    , M.Sc. Thesis Sharif University of Technology Mostafavi Sabet, Azadeh (Author) ; Ghaffari, Ali (Supervisor)
    Abstract
    Soft computing consists of a set of powerful methods that have been successfully applied to many different application domains, including business, engineering, and bioinformatics. In this research we propose an innovative approach that uses genetic algorithms to mine a set of behavior data output by a biological system in order to determine the kinetic parameters of the system. In our approach, the machine learning method is integrated with the framework of existent biological information in a wiring diagram so that its findings are expressed in a form of system dynamic behavior. An application of the method to the cell division cycle model has shown that the method can discover optimum... 

    Dynamics and Control of a Set of Wheeled Robots on a Non-planar Surfaces to Perform Specific Mission

    , M.Sc. Thesis Sharif University of Technology Sabet, Mohammad Taghi (Author) ; Sayyaadi, Hassan (Supervisor)
    Abstract
    The aim of this article is ancestral control of a set of 3-wheel robots with non-holonomics dynamics for hunting and covering around moving target. Robots have mass and inertia and the wheels' mass have been considered in the dynamics of robots. The output of controller is wheel's torque and front wheel's steering torque. Moving target dynamics has been considered in a way that it is escaping from invader and the target has holonomics dynamic. To derive the equation of motion, Kane's dynamics procedure has been used. Robots are equipped to sensors for distance assessment, vision angle assessment and also signal receiver antenna. To estimate relative position and variables of other robots'... 

    Identification of Factors Affecting the Implementation of CRM Systems in Project Based Firms

    , M.Sc. Thesis Sharif University of Technology Asgari Sabet, Parisa (Author) ; Najmi, Manoochehr (Supervisor)
    Abstract
    Customer relationship management is a comprehensive strategy for managing the relationships with customers. Customer relationship management involves technology for automation, organizing, and adaptation of business processes, including sales activities, marketing and customer service. Main purpose of CRM is finding and attracting new customers, maintaining current customers, attracting the organization's former customers, reducing marketing costs and customer service. Most studies in this area are related to B-C organizations and few studies are related to B-B and especially project based organizations. This study aimed to identify the factors affecting the implementation of customer... 

    Clustering and Embedding Graphs into Trees

    , M.Sc. Thesis Sharif University of Technology Nodehi Sabet, Amirhossein (Author) ; Daneshgar, Amir (Supervisor)
    Abstract
    In this thesis, we study the following question stating that “how well a tree structure can approximate the clustering structure of a graph”.To do this, we first focus on the DJS algorithm proposed by Daneshgar et.al. and second we consider the minimum distortion tree approximation algorithm proposed by Abraham et.al.We conclude, using some experimental results, that the minimum spanning tree algorithm extracts some geometric aspects of the data set that the Abraham et.al. algorithm can not track  

    A cost-effective methodology to compare travel time and speed: A tale of 11 cities

    , Article Proceedings of the Institution of Civil Engineers: Municipal Engineer ; Volume 175, Issue 2 , 2022 , Pages 84-94 ; 09650903 (ISSN) Sabet, S ; Namdarpour, F ; Mesbah, M ; Sharif University of Technology
    ICE Publishing  2022
    Abstract
    Urban commuters and road authorities are interested in knowing how well their city can manage traffic conditions. It is challenging to make a fair comparison among global cities due to the absence of a consistent, publicly accessible and inexpensive framework. This study proposes a methodology to compare travel time and average speed in different cities. Large cities have a central core, in which many of the major activities take place. This core is called downtown or the central business district (CBD). In this study, a comparison is made by simulating the morning commute trips from origins outside to destinations inside the CBD. The proposed framework outlines how the city and the CBD...