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Spectral Graph Partitioning
, M.Sc. Thesis Sharif University of Technology ; Daneshgar, Amir (Supervisor)
Abstract
Graph partitioning, or graph clustering, is an essential researa problem in many areas. In this thesis, we focus on the partitioning problem of unweighted undirected graph, that is, graphs for which the weight of all edges is 1. We will investigate spectral methods for solving the graph partitioning and we compare them. In addition to theoretical analysis,We also implement some of spectral algorithms in matlab and apply them on standard graph data sets. Finally, the experimental
results obtained are offering
results obtained are offering
Microstructural characterisation of deformation behaviour of nickel base superalloy IN625
, Article Materials Science and Technology ; Volume 27, Issue 12 , 2011 , Pages 1858-1862 ; 02670836 (ISSN) ; Asgari, S ; Sharif University of Technology
2011
Abstract
Simple compression and microscopy techniques were employed to characterise the microstructural origin of the deformation behaviour of nickel base superalloy IN625 during large strain testing. The alloy exhibited a four-stage strain hardening response similar to that previously reported for low stacking fault energy face centred cubic alloys. At strains lower than about -0.06 (stage A), a falling regime of the hardening rate was observed. This stage was followed by a second stage (stage B) of slow increasing hardening rate, which was found to be coincident with the formation of Lomer-Cottrell locks. The second falling regime of strain hardening (stage C) was seen in the strain range of -0.25...
Event-Triggered Strategies for Model Predictive Control of Delayed Linear Systems
, M.Sc. Thesis Sharif University of Technology ; Haeri, Mohammad (Supervisor)
Abstract
Delay is an important factor in modeling and describing many chemical processes, mechanical systems, teleoperation and networked control systems. On the other hand, model predictive control is a very useful and powerful tool for handling different types of systems including time delayed systems. The main disadvantage of model predictive control is massive computational load and which may lead to wasting system resources. One of the best options for dealing with this issue is to employ event-triggered strategy in model predictive control. Using this approach can relax computational efforts and save system resources. This thesis is focused on introducing a robust model predictive control using...
Biomechanical assessment of the niosh lifting equation in asymmetric load-handling activities using a detailed musculoskeletal model
, Article Human Factors ; Volume 61, Issue 2 , 2019 , Pages 191-202 ; 00187208 (ISSN) ; Arjmand, N ; Sharif University of Technology
SAGE Publications Inc
2019
Abstract
Objective: To assess adequacy of the National Institute for Occupational Safety and Health (NIOSH) Lifting Equation (NLE) in controlling lumbar spine loads below their recommended action limits during asymmetric load-handling activities using a detailed musculoskeletal model, that is, the AnyBody Modeling System. Background: The NIOSH committee employed simplistic biomechanical models for the calculation of the spine compressive loads with no estimates of the shear loads. It is therefore unknown whether the NLE would adequately control lumbar compression and shear loads below their recommended action limits during asymmetric load-handling activities. Method: Twenty-four static stoop lifting...
Improved K2 algorithm for Bayesian network structure learning
, Article Engineering Applications of Artificial Intelligence ; Volume 91 , 2020 ; Beigy, H ; Sharif University of Technology
Elsevier Ltd
2020
Abstract
In this paper, we study the problem of learning the structure of Bayesian networks from data, which takes a dataset and outputs a directed acyclic graph. This problem is known to be NP-hard. Almost most of the existing algorithms for structure learning can be classified into three categories: constraint-based, score-based, and hybrid methods. The K2 algorithm, as a score-based algorithm, takes a random order of variables as input and its efficiency is strongly dependent on this ordering. Incorrect order of variables can lead to learning an incorrect structure. Therefore, the main challenge of this algorithm is strongly dependency of output quality on the initial order of variables. The main...
Fundamental Bounds for Clustering of Bernoulli Mixture Models
, M.Sc. Thesis Sharif University of Technology ; Motahari, Abolfazl (Supervisor)
Abstract
A random vector with binary components that are independent of each other is referred to as a Bernoulli random vector. A Bernoulli Mixture Model (BMM) is a combination of a finite number of Bernoulli models, where each sample is generated randomly according to one of these models. The important challenge is to estimate the parameters of a Bernoulli Mixture Model or to cluster samples based on their source models. This problem has applications in bioinformatics, image recognition, text classification, social networks, and more. For example, in bioinformatics, it pertains to clustering ethnic groups based on genetic data. Many studies have introduced algorithms for solving this problem without...
Evaluating the NIOSH Equation Performance to Estimate the Risk of Injury to Spine in Asymmetric Lifting
, M.Sc. Thesis Sharif University of Technology ; Arjmand, Navid (Supervisor)
Abstract
The 1991 NIOSH Lifting Equation (NLE) is widely used to assess the risk of injury to the spine by providing estimates of the recommended weight limit (RWL) in hands. The present study uses the AnyBody modeling software to verify whether the RWL generates L5-S1 within the limits (e.g., 3400 N for compression recommended by NIOSH and 1000 N for shear recommended in the literature). Twenty-four symmetric and asymmetric lifting activities were simulated to evaluate the RWL by the NLE and the L5-S1 loads by AnyBody. In two activities, involving large trunk flexion and 30 and 60 degrees of load asymmetry, the estimated RWL generated L5-S1 spine loads exceeding the recommended limits. The NIOSH...
Adversarial Robustness of Deep Neural Networks in Text Domain
, M.Sc. Thesis Sharif University of Technology ; Soleymani Baghshah, Mahdieh (Supervisor)
Abstract
In recent years, neural networks have been widely used in most machine learning domains. However, it has been shown that these networks are vulnerable to adversarial examples. adversarial examples are small and imperceptible perturbations applied to the input which lead to producing wrong output and thus, fooling the network. This will become an important issue in security related applications of deep neural networks, such as self-driving cars and medical diagnostics. Since, in the wort-case scenario, even human lives could be threatened. Although, many works have focused on crafting adversarial examples for image data, only a few studies have been done on textual data due to the existing...
Analysis and Simulation of a Graphene Based Plasmon Laser
, Ph.D. Dissertation Sharif University of Technology ; Faez, Rahim (Supervisor)
Abstract
In the present thesis, the SPASER is investigated, from theory to structure design. SPASER is a counterpart of laser in 3D subwavelength dimentions. In other words, SPASER does not suffer from the diffraction limit of photons which is a drawback in laser technology. It potentially can generate intense coherent dark and bright surface plasmon modes. The small size of SPASER gives it the capability of being integrated with electronic chips. So, the electronic technology will become faster if the SPASER is realized. In this thesis, we intend to use the unique plasmonic properties of graphene in our designs. Plasmons on graphene platforms have longer propagation length and larger lifetime in...
Failure analysis of holding U-bolts of an automobile wheels
, Article Engineering Failure Analysis ; Volume 16, Issue 5 , 2009 , Pages 1442-1447 ; 13506307 (ISSN) ; Etemadi, A. R ; Edris, H ; Sharif University of Technology
2009
Abstract
Holding U-bolts of an automobile wheels are manufactured from 10B21 boron steel rods. Changing the source of the rods from X to Y, with an identical manufacturing procedure, it was observed that parts fracture at the mechanical straightening stage (final stage of the manufacturing line). In this case study, microscopy techniques and mechanical tests were used to identify the cause of this failure. It was shown that higher contents of carbon and boron of the source Y rods promotes precipitation of boron containing carbides along the grain boundaries. These precipitates act as crack nucleation sites and are responsible for the fracture of the parts under the straightening stage stresses. Based...
The Effect of Compatibilizer and Short Glass Fiber on Microstructure and Mechanical Properties of PBT/PC Blend
, M.Sc. Thesis Sharif University of Technology ; Bagheri, Reza (Supervisor)
Abstract
In this research, we studied the effect of compatibilizer and short glass fiber on microstructure and mechanical properties of PBT/PC blends. Fisrt, Antioxidants and sodium pyrophosphate dibasic were used to suppress transesterification in PBT/PC Blend. The results showed that best composition occur when both of them are used. In the next step, we used 3%wt MBS (methyl methacrylate-butadiene-styrene) and saw that this weight percent of this compatibilizer doesn’t useful. Moreover addition of short glass fiber to PBT/PC was examined and the results showed that mechanical properties of composite are extensively increased. Also in this step, we proved this idea that we can replace some of PBT...
Assessment of the Motorized Wedge of the Compact Accelerator and Comparison with the Dosimetric Charactristics
, M.Sc. Thesis Sharif University of Technology ; Sohrabpour, Mostafa (Supervisor) ; Bozorgmehri, Ramin (Supervisor)
Abstract
Compact linear accelerator is equipped with a single fixed motorized wedge that produces different wedge angles by combining an open and a wedged field in the appropriate proportions.
In this work, the required data for the Treatment Planning System, TPS were generated for utilizing Compact motorized wedge, MW and was verified by dosimetry. To verify MW, the accumulated wedge profiles at a depth of 10 cm for different wedge angles were measured using 2-D Profiler and were calculated the wedge angles using an analytical formula. The validity of effective wedge angles 2-D Profiler has been done by determining the wedge angles in accordance with ICRU-24 for compact MW and Telecobalt...
In this work, the required data for the Treatment Planning System, TPS were generated for utilizing Compact motorized wedge, MW and was verified by dosimetry. To verify MW, the accumulated wedge profiles at a depth of 10 cm for different wedge angles were measured using 2-D Profiler and were calculated the wedge angles using an analytical formula. The validity of effective wedge angles 2-D Profiler has been done by determining the wedge angles in accordance with ICRU-24 for compact MW and Telecobalt...
Effect of microstructure on attenuation mechanism of ultrasonic waves in carbon steels
, Article Materials Science and Technology ; Volume 26, Issue 4 , 2010 , Pages 482-486 ; 02670836 (ISSN) ; Vahid Dastjerdi, H ; Mahdavi, R ; Rasouli, D ; Sharif University of Technology
2010
Abstract
In this paper, fundamental concepts of ultrasonics and characteristics of distinctive microstructures have been used to simply explain the effect of microstructure on the attenuation mechanism of ultrasonic waves in carbon steels. In addition, it has been shown that application of the second medium hardness instead of the bulk hardness is more appropriate to correlate the sound velocity and the microstructure
Reconfigurable Architecture Design for Reverse Protocol Engineering
, M.Sc. Thesis Sharif University of Technology ; Jahangir, Amir Hossein (Supervisor)Some results on dominating induced matchings
, Article Graphs and Combinatorics ; Volume 38, Issue 3 , 2022 ; 09110119 (ISSN) ; Baktash, H ; Behjati, A ; Behmaram, A ; Roghani, M ; Sharif University of Technology
Springer Japan
2022
Abstract
Let G be a graph, a dominating induced matching (DIM) of G is an induced matching that dominates every edge of G. In this paper we show that if a graph G has a DIM, then χ(G) ≤ 3. Also, it is shown that if G is a connected graph whose all edges can be partitioned into DIM, then G is either a regular graph or a biregular graph and indeed we characterize all graphs whose edge set can be partitioned into DIM. Also, we prove that if G is an r-regular graph of order n whose edges can be partitioned into DIM, then n is divisible by (2r-1r-1) and n=(2r-1r-1) if and only if G is the Kneser graph with parameters r- 1 , 2 r- 1. © 2022, The Author(s), under exclusive licence to Springer Japan KK, part...
A Model of Risk Analysis for Iran Petroleum Contracts (IPC)
, M.Sc. Thesis Sharif University of Technology ; Haji, Alireza (Supervisor) ; Ayatollahi, Shahab (Supervisor)
Abstract
The economic framework of the petroleum sector exhibits significant divergence from other businesses owing to the substantial risks and uncertainties inherent in oil and gas ventures, compounded by highly unpredictable price fluctuations. Moreover, the abundance of uncertainties in the data employed for investment decisions in petroleum projects is very large, thus exerting a significant impact on the decision-making processes. This research delves into the impact of diverse risk factors on oil contracts and scrutinizes their influence on contractual dynamics. The study unfolds in three segments, encompassing an examination of economic factors shaping oil contracts, model design, and the...
Universal adversarial attacks on text classifiers
, Article 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019, 12 May 2019 through 17 May 2019 ; Volume 2019-May , 2019 , Pages 7345-7349 ; 15206149 (ISSN); 9781479981311 (ISBN) ; Moosavi Dezfooli, S. M ; Baghshah, M. S ; Frossard, P ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2019
Abstract
Despite the vast success neural networks have achieved in different application domains, they have been proven to be vulnerable to adversarial perturbations (small changes in the input), which lead them to produce the wrong output. In this paper, we propose a novel method, based on gradient projection, for generating universal adversarial perturbations for text; namely sequence of words that can be added to any input in order to fool the classifier with high probability. We observed that text classifiers are quite vulnerable to such perturbations: inserting even a single adversarial word to the beginning of every input sequence can drop the accuracy from 93% to 50%. © 2019 IEEE
Investigation on Aplicability of Decline Curve Analysis for Gas Condensate Reservoirs
, M.Sc. Thesis Sharif University of Technology ; Masihi, Mohsen (Supervisor) ; Gerami, Shahab (Supervisor)
Abstract
Part 1: Techniques of production data analysis for single-phase oil and gas reservoirs have advanced significantly over the past few years. These techniques range from traditional (Arps and Fetkovich) to modern (they account for the variation of operating conditions at the wellbore). Although the production data analysis methods are used generally for single phase reservoirs, the application of these techniques for analysis of production data of a gas condensate reservoir may not yield the reliable answer due to the fact that the flow of fluid in gas condensate reservoirs is not single-phase. This study presents the treatment of the modern methods of production data analysis (single phase...
Modern Production Data Analysis of Bottom Water Drive Reservoir
, M.Sc. Thesis Sharif University of Technology ; Masihi, Mohsen (Supervisor) ; Gerami, Shahab (Supervisor)
Abstract
Hydrocarbon reservoirs may be classified on the basis of their drive mechanisms. In the reservoirs adjoined by water aquifers, waterdrive may be the primary production mechanism. The invasion of reservoir rock by aquifer water may have a significant impact on reservoir performance. Therefore, water influx into hydrocarbon reservoirs must be predicted accurately as a function of time, pressure history at the reservoir/aquifer interface, reservoir/aquifer size ratio, and aquifer characteristics.To forecast the performance in a waterdrive reservoir, an aquifer model simulating the fluid flow in the aquifer and flow from the aquifer into the reservoir is needed. Robust techniques for analysis of...
Development of a One-Dimensional Compositional Simulator to Account for the Effects of Different Relative Permeability Models in Gas Condensate Reservoirs
, M.Sc. Thesis Sharif University of Technology ; Masihi, Mohsen (Supervisor) ; Gerami, Shahab (Co-Advisor)
Abstract
As the published statistics of prestigious international institutes show, the share of natural gas from the energy basket of the world is rising. This increase is due to some reasons such as decrease in oil reserves, discovery of new gas fields, lower environmental problems, etc. The Islamic Republic of Iran is not an exception of this rule; but also because of huge gas reservoirs that Iran has, it becomes very important for the Iranian government. Hence, research for predicting the behavior of such reservoirs is a necessary need of oil and gas industry.Both thermodynamic and flow behavior of gas condensate fluids are more complicated than other reservoir fluids. Its complex thermodynamic...