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javid-shiran--behrouz
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Hydraulic Fracturing Modeling in Conventional and Unconventional Reservoirs
, M.Sc. Thesis Sharif University of Technology ; Badakhshan, Amir (Supervisor) ; Ghotbi, Siroos (Supervisor) ; Taghikhani, Vahid (Supervisor)
Abstract
Unconventional fracturing applications such as long-term waterflooding at fracturing pressure, produced water re-injection and waterfracs, etc., are characterized by very high fluid leakoff velocity, long operation time and significant changes in stress, pore pressure, and/or permeability and porosity, affecting possibly large regions around the wellbore and/or fracture. These special characteristics make fracturing modeling methods developed for conventional fracturing applications inadequate. Some of the problems encountered include grid effects resulting in oscillation of fracture growth with time (limiting the stability of conventional fracture modeling models), singularity of material...
Design of CMOS DPS based on Non-Linear Current Source
, M.Sc. Thesis Sharif University of Technology ; Haj Sadeghi, Khosrow (Supervisor)
Abstract
Few years ago, when people were talking about image sensors, the minds were automatically focusing on the pictures and photos that were/are taken for recording the memories. Nowadays, however, image sensors have prominent and unbelievable role in different aspects of our life, which "image" is only representing part of this role. A wide variety of applications image sensors can be enumerated such as, Scientific, security, medical, machine vision, ITs, biometrics, automotive, etc. To evaluate the quality of an image sensor, there are different parameters, from the dynamic range, high resolution and suitable speed to low noise, low power consumption and other parameters. The art of companies...
Numerical evaluation of the ultimate load of concrete funicular shells of circular plan
, Article Proceedings of the Institution of Civil Engineers: Structures and Buildings ; Volume 174, Issue 1 , 2021 , Pages 5-11 ; 09650911 (ISSN) ; Mofid, M ; Sharif University of Technology
ICE Publishing
2021
Abstract
A special type of shell structure - a concrete shallow funicular shell of circular plan - is considered in this paper. Funicular shells carry their dead weight only by in-plane compression forces. Numerical analysis of funicular shells was performed using the non-linear finite-element method, considering both geometric and material non-linearities. A circular-plan concrete funicular shell unit was also constructed and its ultimate central concentrated load is determined. The ultimate load of the shell unit predicted by the numerical model was very close to the experimentally determined ultimate load, thus confirming the validity of the numerical model. The numerical results revealed the...
Linear-Differential Cryptanalysis of Word-Reduced Variants of Cubehash
, M.Sc. Thesis Sharif University of Technology ; Khazaei, Shahram (Supervisor)
Abstract
In this thesis, first we will have a brief review on hash functions and related concepts.Then, we will descibe the hash function, Cubehash, which is one of the competitors in the competition held by NIST for selecting SHA-3 standard. Next, we will describe an attack based on linearization of differential paths in hash functions and apply this attack on Cubehash. At the end, we will discuss the results of this attack on Cubehash
A reconfigurable fault-tolerant routing algorithm to optimize the network-on-chip performance and latency in presence of intermittent and permanent faults
, Article Proceedings - IEEE International Conference on Computer Design: VLSI in Computers and Processors ; 2011 , Pages 433-434 ; 10636404 (ISSN) ; 9781457719523 (ISBN) ; Modarressi, M ; Sarbazi Azad, H ; Sharif University of Technology
2011
Abstract
As the semiconductor industry advances to the deep sub-micron and nano technology points, the on-chip components are more prone to the defects during manufacturing and faults during system operation. Consequently, fault tolerant techniques are essential to improve the yield of modern complex chips. We propose a fault-tolerant routing algorithm that keeps the negative effect of faulty components on the NoC power and performance as low as possible. Targeting intermittent faults, we achieve fault tolerance by employing a simple and fast mechanism composed of two processes: NoC monitoring and route adaption. Experimental results show the effectiveness of the proposed technique, in that it offers...
Design of multi-service systems with facilities functioning as open Jackson queueing networks: application to online shopping stores
, Article OR Spectrum ; Volume 44, Issue 4 , 2022 , Pages 1255-1286 ; 01716468 (ISSN) ; Fathi, M ; Sharif University of Technology
Springer Science and Business Media Deutschland GmbH
2022
Abstract
This paper considers a realistic multi-service system design problem in which each service type is a stochastic sequence of services provided by different units of facilities where each facility is modeled as a set of open Jackson queueing networks. The problem is first formulated as a mixed-integer nonlinear programming model, which is further simplified to a model with a smaller number of constraints. Three exact solution methods are applied to solve the amended model. The first one is a cutting-plane method, which is based on a piecewise-linear approximation. The second is based on a mixed-integer linear programming formulation, which is enhanced by valid inequalities. The third is to use...
Utilizing ensemble machine learning and gray wolf optimization to predict the compressive strength of silica fume mixtures
, Article Structural Concrete ; Volume 25, Issue 5 , 2024 , Pages 4048-4074 ; 14644177 (ISSN) ; Toufigh, V ; Sharif University of Technology
2024
Abstract
The concrete compressive strength is essential for the design and durability of concrete infrastructure. Silica fume (SF), as a cementitious material, has been shown to improve the durability and mechanical properties of concrete. This study aims to predict the compressive strength of concrete containing SF by dual-objective optimization to determine the best balance between accurate prediction and model simplicity. A comprehensive dataset of 2995 concrete samples containing SF was collected from 36 peer-reviewed studies ranging from 5% to 30% by cement weight. Input variables included curing time, SF content, water-to-cement ratio, aggregates, superplasticizer levels, and slump...
Dynamic Modeling and Congestion Control in Computer Networks
, M.Sc. Thesis Sharif University of Technology ; Jahangir, Amir Hossein (Supervisor) ; Ebrahim, Behrouz (Co-Advisor)
Abstract
Active queue management (AQM) is a key factor in congestion control and should provide appropriate feedback for flow control in traffic sources to overcome the congestion problem. Beside providing congestion control, achieving predictable queuing delay, maximizing link utilization, simplicity and robustness are also the main objectives of an AQM controller. We propose in this thesis an improved queue dynamic model while incorporating the packet drop probability as well. The proposed model is evaluated using ns2 platform. By applying the improved model, a new compensated proportionalintegral- derivative (PID) AQM controller is developed for TCP network. The time-varying nature of the network...
Recovery of Uranium(VI) from UCF Waste by Selective Transportacross Aliquid Membrane
, M.Sc. Thesis Sharif University of Technology ; Samadfam, Mohammad (Supervisor) ; Fasihi, Javad (Supervisor)
Abstract
Due to environmental and economical impacts, recovery of the uranium from nuclear wastes is of continuing interest.This work reports the separation of uranyl ionusing transport technique through chloroform liquid membrane containing a mixture of DBDA15C4 and oleic acidas cooperative carrier.The pH of the feed phase (10-4 M of UO22+) was adjusted with nitric acid and acetic acid/NaOH for pHrange of 2-6.The receiving phase was hydrochloric acid 1M.The organic phase was chloroform which includesthe carrier DBDA15C4 (0.0001 M) and also the oleic acid (0.015M).The results showed that the transport increased with increasing pH and reached to maximumat pH of 5.Maximum cooperative effect of oleic...
Chaotic Network Flows in an Evolutionary Model of Traffic Assignment Based on Speed and Density
, M.Sc. Thesis Sharif University of Technology ; Poorzahedy, Hossein (Supervisor)
Abstract
Chaotic Flow in transportation networks has been the subject of several studies. Evolutionary models have been employed to simulate traffic flows. This study takes advantage of an existing evolutionary model of traffic assignment to show that chaotic phenomena arise when the model’s driving force is speed or density, of traffic flow. It has been observed that drivers show higher sensitivity when the network is more loaded.
Minimization Of of Environmental Impacts Of of Educational Buildings Using Life Cycle Analysis . A a Case Study: Building Of of Energy Engineering Faculty
, M.Sc. Thesis Sharif University of Technology ; Avami, Akram (Supervisor)
Abstract
Today, building sectors account for 34% of total energy consumption in Iran. Increasing demand of the comfort level along with population growth necessitates much more attention about energy requirements in the country. Such phenomenon has already raised concerns about the heavy environmental impacts. The present research studies minimization of global warming potential effect for an educational building by developing life cycle optimization model. The Department of Engineering of Sharif University of Technology is selected as the case study and optimal solutions has been achieved for this building. Results state that implementing cogeneration and renewable energies can reduce20 -25% of the...
Deblurring of Hyperspectral Images via Hyperspectral Unmixing
, M.Sc. Thesis Sharif University of Technology ; Amini, Arash (Supervisor)
Abstract
In this thesis, we propose a new compressed-sensing-based algorithm for unmixing of hyperspectral data, and show that the reconstruction quality could be significantly improved. In addition, we illustrate that by utilizing this approach, we can achieve an approximate estimation of the Point Spread Function (PSF) of the hyperspectral images. In this way, we first assume that the PSF belongs to a specific family of functions, such as Gaussian, then, by sweeping the parameters of the assumed PSF, we obtain the abundance coefficient matrix of the reconstructed image. Now, by choosing the sparsest coefficient matrix as the best one, we estimate the corresponding PSF. Then, we further investigate...
A Model for Analysis of Computational Learning
, M.Sc. Thesis Sharif University of Technology ; Daneshgar, Amir (Supervisor)
Abstract
The subject of this thesis is about a certain set of algorithms that try to indirectly solve problems. Instead of a programmer crafting an algorithm to solve a problem, these algorithms learn a solution themselves. These methods are usually studied in the Probably Accurately Correct (PAC) learning model. Although, PAC Learning is a generally accepted model, it falls short to describe certain aspects of learning algorithms. Many learning methods rely on convergence to minimize error, or maximize their fitness, yet the PAC model doesn’t explicitly provide any means to measure these behaviours. In this thesis, we first go through different models related to computational requirements of...
Enhancing Weakly Supervised Semantic Segmentation through Patch-Based Refinement
, M.Sc. Thesis Sharif University of Technology ; Kasaei, Shohreh (Supervisor)
Abstract
Semantic segmentation, a pivotal topic in computer vision, finds extensive applications across various domains. Leveraging deep networks to tackle this challenge necessitates a large dataset with pixel-level annotations, incurring significant time and cost for preparation. Weakly supervised semantic segmentation utilizes less expensive labels, such as image-level annotations, thereby circumventing the need for costly pixel-level annotations. Consequently, weakly supervised learning has garnered considerable attention. In recent years, vision transformers have achieved significant results compared to convolutional neural networks advancing the state of the art. However, employing vision...
The application of multi-criteria (AHP-PROMETHEE) decision-making methods in selecting and prioritizing the green area irrigation resources
, Article International Journal of Environmental Science and Technology ; 2020 ; Abbaspour, M ; Javid, A. H ; Sharif University of Technology
Springer
2020
Abstract
One of the underlying factors in the conservation and development of urban green spaces is the available water resources use for green areas in each region. The primary purpose of this study is to introduce the integration of a proper simulation method for runoff along with AHP-PROMETHEE decision-making method for water resources management in urban basins. The application of this approach was investigated in the city Buin Zahra of Qazvin Province of Iran. In the first step by using the analytic hierarchy process (AHP), the available water resources in the case study were weighted. In the second step, the water resources of the municipal and residential wells and water collected by...
Overtaking stationary and moving obstacles for autonomous ground vehicles
, Article 8th Biennial ASME Conference on Engineering Systems Design and Analysis, ESDA2006, Torino, 4 July 2006 through 7 July 2006 ; Volume 2006 , 2006 ; 0791837793 (ISBN); 9780791837795 (ISBN) ; Durali, M ; Kasaaizadeh, A ; Sharif University of Technology
American Society of Mechanical Engineers
2006
Abstract
In this paper, a method for overtaking stationary and moving obstacles will be introduced. The method consists of designing a desired trajectory for lateral motion of the vehicle and then using a lateral motion controller for tracking this desired trajectory. The desired trajectory is a sigmoid exponential function of relative distance between the vehicle and the obstacle and guarantees overtaking the obstacle, if tracked exactly, despite of lateral and longitudinal motions of the obstacle. Lateral acceleration of the vehicle should not exceed safety limits during tracking desired trajectory. This matter has been used as a decision criterion for determining feasible and unfeasible desired...
Collision avoidance maneuver for an autonomous vehicle
, Article 9th IEEE International Workshop on Advanced Motion Control, 2006, Istanbul, 27 March 2006 through 29 March 2006 ; Volume 2006 , 2006 , Pages 249-254 ; Amini Javid, G ; Kasaiezadeh, A ; Sharif University of Technology
2006
Abstract
One of the most important capabilities expected from an autonomous vehicle is avoiding collision with obstacles in its path. For this purpose, autonomous vehicle must be able to perform an emergency maneuver as soon as the obstacle is detected. This paper presents a method for designing and performing an emergency maneuver in order to avoid collision with a fixed or moving obstacle in the path. A sinusoidal or exponential trajectory, which is a function of the relative distance between vehicle and obstacle, is designed as the desired trajectory for lateral motion of the vehicle. A sliding mode controller is designed in order to guarantee that the vehicle tracks that desired trajectory. The...
The application of multi-criteria (AHP-PROMETHEE) decision-making methods in selecting and prioritizing the green area irrigation resources
, Article International Journal of Environmental Science and Technology ; Volume 18, Issue 5 , 2021 , Pages 1135-1146 ; 17351472 (ISSN) ; Abbaspour, M ; Javid, A. H ; Sharif University of Technology
Springer Science and Business Media Deutschland GmbH
2021
Abstract
One of the underlying factors in the conservation and development of urban green spaces is the available water resources use for green areas in each region. The primary purpose of this study is to introduce the integration of a proper simulation method for runoff along with AHP-PROMETHEE decision-making method for water resources management in urban basins. The application of this approach was investigated in the city Buin Zahra of Qazvin Province of Iran. In the first step by using the analytic hierarchy process (AHP), the available water resources in the case study were weighted. In the second step, the water resources of the municipal and residential wells and water collected by...
Outpatient appointment systems in healthcare: A review of optimization studies
, Article European Journal of Operational Research ; Volume 258, Issue 1 , 2017 , Pages 3-34 ; 03772217 (ISSN) ; Jalali, Z ; Klassen, K. J ; Sharif University of Technology
Elsevier B.V
2017
Abstract
Outpatient appointment scheduling problems have recently gained increasing attention. This paper provides a comprehensive review of recent analytical and numerical optimization studies that present decision-support tools for designing and planning outpatient appointment systems (OASs). A structure for organizing the recent literature according to various criteria is provided, including a framework that classifies decisions at the strategic, tactical, and operational levels. The OAS literature is evaluated from four perspectives: problem settings, environmental factors, modeling approaches, and solution methods. In addition, research gaps and areas of opportunity for future research are...
Intelligent Reflecting Surface Assisted Over-the-Air Computation with Device-to-Device Communication
, Article 2024 12th Iran Workshop on Communication and Information Theory, IWCIT 2024 ; 2024 ; 979-835038709-4 (ISBN) ; Shariatpanahi, S. P ; Siavoshani, M. J ; Sharif University of Technology
2024
Abstract
Over-the-air computation (OAC) enables devices to compute functions over distributed data without sharing local raw data and provides an efficient, distributed, and privacy-preserving computation mechanism. This is achieved by leveraging channel mixing properties and decoding results from received signals. However, optimizing the effective wireless channel between devices and the base station is critical for effective OAC. Intelligent reflecting surfaces (IRS) can enhance transmission quality, but the resulting optimization problem becomes complex with increasing the number of devices. This paper examines clustering-based OAC using an IRS in which users share their data with the cluster head...