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An introductory course on differentiable manifolds
, Book
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...
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...
Structural health monitoring of buried pipelines under static dislocation and vibration
, Article Proceedings of 2010 IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2010, 15 July 2010 through 17 July 2010 ; 2010 , Pages 325-329 ; 9781424471010 (ISBN) ; Zabihollah, A ; Sharif University of Technology
2010
Abstract
Buried pipe lines are an efficient way of transporting of water, sewage, oil, and gas resources in all over the world. Since the buried pipe lines are exposed to many unexpected conditions, such as landslides, corrosion, fatigue, earthquakes, material flaws or even intentional damaging, so the inspection requirements lead to adoption of new method of maintenance, protection and conserving. This report aims to improve the trustworthiness, reliability, yet economical technologies for monitoring of behavior and manner of buried pipe lines during operation and assessing the risk of pipe lines failure. Distributed sensors (piezoelectric) are surface designed and embedded to investigate the...
Spectrum Sensing in Cognitive Radios Using Compressive Sensing and Random Sampling
, M.Sc. Thesis Sharif University of Technology ; Marvasti, Farrokh (Supervisor)
Abstract
Cognitive radio (CR) can successfully deal with the growing demand and scarcity of the wireless spectrum. To exploit limited spectrum efficiently, CR technology allows unlicensed users to access licensed spectrum bands. Since licensed users have priorities to use the bands, the unlicensed users need to continuously monitor the licensed users activities to avoid interference and collisions. How to obtain reliable results of the licensed users activities is the main task for spectrum sensing. Based on the sensing results, the unlicensed users should adapt their transmit powers and access strategies to protect the licensed communications. The requirement naturally presents challenges to the...
Structural Health Monitoring of Buried Pipelines Using Piezoelectric Sensor
, M.Sc. Thesis Sharif University of Technology ; Zabihollah, Abolghasem (Supervisor)
Abstract
Large-size buried pipelines are an efficient way of transporting of water, waste water, sewage, gas, and oil resources in across the world. Since the buried pipe lines are exposed to many unexpected conditions, such as landslides, corrosion, fatigue, unexpected loading, earthquakes, material flaws or even intentional damaging, so the inspection requirements lead to adoption of new method of maintenance, protection and conserving of pipelines. This proposed project aims to improve the trustworthiness, reliable, yet economical technologies for monitoring of behavior of buried pipe lines during operation and assessing the risk of pipe lines failure. Piezoelectric sensor is bonded on the surface...
Semantic web services for handling data heterogeneity in an e-business framework
, Article 13th International Computer Society of Iran Computer Conference on Advances in Computer Science and Engineering, CSICC 2008, Kish Island, 9 March 2008 through 11 March 2008 ; Volume 6 CCIS , 2008 , Pages 453-460 ; 18650929 (ISSN); 3540899847 (ISBN); 9783540899846 (ISBN) ; Habibi, J ; Hassas Yeganeh, S ; Sharif University of Technology
2008
Abstract
E-business requires interoperability of information systems and, therefore, standardization of information sharing. Several XML-based e-business frameworks are developed to define standards for information sharing within and between companies. These frameworks only standardize structure of messages and aren't able to define semantics. The use of Semantic Web Service (SWS) technologies has been suggested to enable more dynamic B2B integration of heterogeneous systems and partners. We present a semantic B2B mediator based on the WSMX -a SWS execution environment, to tackle heterogeneities in RosettaNet messages. We develop a rich RosettaNet ontology and use the axiomatized knowledge and rules...
Developing Three Dimensional Model for Delineation of Capture Zone of Multi Wells in Complicated Condition (Skin Effect, Partially Penetrating)
,
M.Sc. Thesis
Sharif University of Technology
;
Ataei Ashtiani, Behzad
(Supervisor)
Abstract
Pump and treat is one of the oldest and mostly used methods in remediation of groundwater. Although this method has been criticized recently, it is still widely be used. The systems typically use one or more extraction and injection wells to hydraulically control the contamination plume. The purpose of studying a pump and treat system is to determine the appropriate location and discharge for the wells in the way that the contamination could be pumped out. In this study after reviewing some existing solutions for delineation the capture zone of single well a method to delineate the capture zone for arbitrary located wells is presented. This method can delineate a three dimensional capture...
The Evolution of a Geometric Space in in the Nineteenth Century
, M.Sc. Thesis Sharif University of Technology ; 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....
P - Adic L Functions
, M.Sc. Thesis Sharif University of Technology ; 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...
Improving the Scalability of the DBSCAN Clustering Algorithm using Intelligent Histogram-Based Partitioning
, M.Sc. Thesis Sharif University of Technology ; Bayat, Siavash (Supervisor)
Abstract
The density-based clustering algorithm, DBSCAN, is widely recognized for its unique ability to identify arbitrarily shaped clusters and handle noise. However, with the exponential growth of data in modern applications, the algorithm's high computational complexity has become a significant bottleneck, limiting its scalability for large datasets. This research addresses this challenge by introducing and evaluating a novel hybrid clustering algorithm, named HB-DBSCAN. The proposed method is based on a "divide and conquer" strategy, with its core innovation lying in a fast and non-iterative partitioning process driven by one-dimensional histogram analysis. In this algorithm, the natural...
Notice of violation of IEEE publication principles: Promoting B2B integration with semantic web service technologies
, Article 2nd Asia International Conference on Modelling and Simulation, AMS 2008, Kuala Lumpur, 13 May 2008 through 15 May 2008 ; 2008 , Pages 65-70 ; 9780769531366 (ISBN) ; Habibi, J ; Yeganeh, S. H ; Sharif University of Technology
2008
Abstract
Several e-business frameworks are developed to define standards for information sharing within and between companies. These frameworks only standardize structure of messages and aren't able to define semantics. It leads to slow and costly dynamic Business-to-Business (B2B) integration. The use of Semantic Web Senice (SWS) technologies has been suggested to enable more dynamic B2B integration of heterogeneous systems and partners. We present a semantic B2B mediator based on the WSMX -a SWS execution environment, to tackle heterogeneities in B2B services. We particularly show how WSMX can be made to support the RosettaNet e-business framework and how it can add dynamics to B2B interactions by...
Capture zone of a partially penetrating well with skin effects in confined aquifers
, Article Transport in Porous Media ; Volume 91, Issue 2 , January , 2012 , Pages 437-457 ; 01693913 (ISSN) ; Shafei, B ; Rashidian Dezfouli, H ; Mohamadzadeh, M ; Sharif University of Technology
2012
Abstract
The analysis of the capture zone of wells is useful to design pumping systems and wellhead protection programs. In this study, an analytical solution for the head distribution of a partially penetrating well, and semi-analytical methods to determine the geometry of the capture surface are presented. The analytical solution is derived based on an infinitesimal radius under a constant pumping rate in a two-zone confined aquifer. Using the developed solution, a sensitivity analysis is performed to study the influence of skin on the drawdown, location of the stagnation point, maximum horizontal and vertical extent of the capture surface. The results show the efficiency of a partially penetrating...
Stimulus-specific adaptation decreases the coupling of spikes to LFP phase
, Article Frontiers in Neural Circuits ; Volume 13 , 2019 ; 16625110 (ISSN) ; Zarei, M ; Jahed, M ; Daliri, M. R ; Sharif University of Technology
Frontiers Media S.A
2019
Abstract
Stimulus repetition suppresses the neural activity in different sensory areas of the brain. This mechanism of so-called stimulus-specific adaptation (SSA) has been observed in both spiking activity and local field potential (LFP) responses. However, much remains to be known about the effect of SSA on the spike–LFP relation. In this study, we approached this issue by investigating the spike-phase coupling (SPC) in control and adapting paradigms. For the control paradigm, pure tones were presented in a random unbiased sequence. In the adapting paradigm, the same stimuli were presented in a random pattern but it was biased to an adapter stimulus. In fact, the adapter occupied 80% of the...
Task-specific modulation of PFC activity for matching-rule governed decision-making
, Article Brain Structure and Function ; Volume 226, Issue 2 , 2021 , Pages 443-455 ; 18632653 (ISSN) ; Zarei, M ; Constantinidis, C ; Daliri, M. R ; Sharif University of Technology
Springer Science and Business Media Deutschland GmbH
2021
Abstract
Storing information from incoming stimuli in working memory (WM) is essential for decision-making. The prefrontal cortex (PFC) plays a key role to support this process. Previous studies have characterized different neuronal populations in the PFC for working memory judgements based on whether an originally presented stimulus matches a subsequently presented one (matching-rule decision-making). However, much remains to be understood about this mechanism at the population level of PFC neurons. Here, we hypothesized differences in processing of feature vs. spatial WM within the PFC during a matching-rule decision-making task. To test this hypothesis, the modulation of neural activity within the...
Sensory representation of visual stimuli in the coupling of low-frequency phase to spike times
, Article Brain Structure and Function ; Volume 227, Issue 5 , 2022 , Pages 1641-1654 ; 18632653 (ISSN) ; Jahed, M ; Dezfouli, M. P ; Daliri, M. R ; Sharif University of Technology
Springer Science and Business Media Deutschland GmbH
2022
Abstract
Neural synchronization has been engaged in several brain mechanisms. Previous studies have shown that the interaction between the time of spiking activity and phase of local field potentials (LFPs) plays a key role in many cognitive functions. However, the potential role of this spike–LFP phase coupling (SPC) in neural coding is not fully understood. Here, we sought to investigate the role of this SPC for encoding the sensory properties of visual stimuli. To this end, we measured SPC strength in the preferred and anti-preferred motion directions of stimulus presented inside the receptive field of middle temporal (MT) neurons. We found a selective response in terms of SPC strength for...
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 ; 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....
A Trusted Design Platform for Trojan Detection in FPGA Bitstreams Using Partial Reconfiguration
, M.Sc. Thesis Sharif University of Technology ; 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...
Performance Evaluation of Physical Unclonable Functions and Proposing a Scheme on FPGA
, M.Sc. Thesis Sharif University of Technology ; 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...
Increasing BIOS Trust in Personal Computers Using Reconfigurable Devices
, M.Sc. Thesis Sharif University of Technology ; 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...
Efficient Implementation of Post-Quantum Cryptography Based on Learning with Errors
, Ph.D. Dissertation Sharif University of Technology ; 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 ; 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...