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Evaluation of Laboratory Methods for Estimation of Mixing and Compaction Temperatures of Rubber Modified Asphalt Mixtures
, M.Sc. Thesis Sharif University of Technology ; Tabatabaee, Nader (Supervisor)
Abstract
One of the major challenges in construction of rubber modified asphalt mixtures is determination of mixing and compaction temperature (MCT). In order to estimate MCT according to Superpave volumetric mix design procedure, a temperature-viscosity relationship for the binder should be developed using ASTM D2493. This approach provides reasonable temperatures for unmodified binders which are Newtonian fluids at high temperatures and their viscosity is independent of shear rate. However, this method often yields excessively high temperatures for modified binders which exhibit non-Newtonian pseudoplastic behavior. The reason is that viscosity of modified binders depend on not only temperature but...
Design and Construction of Multichannel Analyzer Using ADC Sound Card for Gamma Spectroscopy
, M.Sc. Thesis Sharif University of Technology ; Hosseini, Abulfazl (Supervisor)
Abstract
One of the applications of signal digitization is its use in nuclear spectroscopy and in particular gamma ray spectroscopy. Parameters such as pulse amplitude and formation, pulse shrinkage correction or reduction, and pulse sampling are performed by the amplifier circuit and MCA. Such algorithms have advantages such as real-time pulse height analysis, high flexibility and significant cost reduction.Therefore, in this project, an attempt has been made to design a pulse analyzer system using electronic circuits and a computer ADC sound card. Optimal system will detect, amplify and shape the detector input signal, reduce the effect of pulse accumulation, count the number of pulses, and so...
Software Vulnerability Characterization
, M.Sc. Thesis Sharif University of Technology ; Kharrazi, Mehdi (Supervisor)
Abstract
Today, lots of vulnerabilities are discovered by researchers who are analyzing the software. Some researchers study these discovered vulnerabilities and find new ones that are similar to them. So they need to first characterize each previously discovered vulnerability and extract the vulnerable context of the program, then extract new vulnerabilities based on that. Some vulnerabilities are emerging because of developer mistakes in the implementation phase. Software developers use different function calls to do the goal of the program. Incorrect invocation for functions can lead to critical vulnerabilities. Our investigation shows that the root cause for some vulnerabilities is incorrect...
MaskChanger: A Transformer-Based Model Tailoring Change Detection with Mask Classification
, Article Iranian Conference on Machine Vision and Image Processing, MVIP ; 2024 ; 21666776 (ISSN); 979-835035049-4 (ISBN) ; Manzuri, M. T ; Sharif University of Technology
2024
Abstract
Change detection in multi-temporal remote sensing data enables crucial urban analysis and environmental monitoring applications. However, complex factors like illumination variance and occlusion make robust automated change interpretation challenging. We propose MaskChanger - a novel deep learning paradigm tailored for satellite image change detection. Our method adapts the segmentation-specialized Mask2Former architecture by incorporating Siamese networks to extract features separately from bi-temporal images, while retaining the original mask transformer decoder. To our knowledge, this is the first study in which change detection is converted from the existing per-pixel classification...
Detection and estimation of faulty sensors in NPPs based on thermal-hydraulic simulation and feed-forward neural network
, Article Annals of Nuclear Energy ; Volume 166 , 2022 ; 03064549 (ISSN) ; Ghafari, M ; Moshkbar Bakhshayesh, K ; Sharif University of Technology
Elsevier Ltd
2022
Abstract
Sensors are one of the most vital instruments in Nuclear Power Plants (NPPs), and operators and safety systems monitor and analyze various parameters reported by them. Failure to detect sensors malfunctions or anomalies would lead to the considerable consequences. In this research, a new method based on thermal–hydraulic simulation by RELAP5 code and Feed-Forward Neural Networks (FFNN) is introduced to detect faulty sensors and estimate their correct value. For design an efficient neural net, seven feature selectors (i.e., Information gain, ReliefF, F-regression, mRMR, Plus-L Minus-R, GA, and PSO), three sigmoid activation functions (i.e., Logistic, Tanh and Elliot), and three training...
Laboratory Study of Fracture Parameters of Ultra-High Performance Fiber Reinforced Concrete
, M.Sc. Thesis Sharif University of Technology ; Kazemi, Mohammad Taghi (Supervisor)
Abstract
High performance concrete has a compressive strength of more than one hundred and twenty MPa. The effect of steel fibers on the flexural fracture of this type of concrete has been studied, but the mechanical behavior of fracture of this material has not been fully studied yet. In this research, the effect of different percentages of propylene fibers on the mechanical properties of reinforced concrete will be investigated experimentaly. For this purpose, beam samples with dimensions of 40*10*10 cm, which had an initial notch with a depth of 3 cm in the lower middle of it, have been tested to investigate the effect of fiber percentage on how the crack propegate and the sample breaks. It is...
Attention-based Change Detection and Panoptic Change Segmentation
, M.Sc. Thesis Sharif University of Technology ; Manzuri Shalmani, Mohammad Taghi (Supervisor)
Abstract
Change detection involves comparing images of a specific area taken at different times to identify the key changes that have occurred over time. It is critically important in the field of remote sensing, with applications spanning urban planning, disaster monitoring, and environmental conservation. However, challenges such as varying weather conditions and lighting in satellite images taken at different times, as well as the presence of non-target changes, can make this task challenging. In this research, we will focus on changes in land-use, particularly in building infrastructure, which is crucial for urban development planning. Moreover, since change detection does not specify the type of...
A new orthonormal polynomial series expansion method in vibration analysis of thin beams with non-uniform thickness
, Article Applied Mathematical Modelling ; Volume 37, Issue 18-19 , 2013 , Pages 8543-8556 ; 0307904X (ISSN) ; Nikkhoo, A ; Vaseghi Amiri, J ; Mehri, B ; Sharif University of Technology
2013
Abstract
In this article, OPSEM (Orthonormal Polynomial Series Expansion Method) is developed as a new computational approach for the evaluation of thin beams of variable thickness transverse vibration. Capability of the OPSEM in assessing the free vibration frequencies and mode shapes of an Euler-Bernoulli beam with varying thickness is discussed. Multispan continuous beams with various classical boundary conditions are included. Contribution of BOPs (Basic Orthonormal Polynomials) in capturing the beam vibrations is also illustrated in numerical examples to give a quantitative measure of convergence rate. Furthermore, OPSEM is adopted for the forced vibration of a thin beam caused by a moving mass....
Tensile strength retention of glass fibre-reinforced stirrups subjected to aggressive solutions: effect of environmental condition, stirrup shape and stirrup diameter
, Article Materials and Structures/Materiaux et Constructions ; Volume 57, Issue 2 , 2024 ; 13595997 (ISSN) ; Mahmoudi, M ; Ebrahimzadeh, M ; Shakiba, M ; Bazli, M ; Sharif University of Technology
Springer
2024
Abstract
The aim of this study was to examine how the tensile strength of glass fibre reinforced polymer stirrups is affected by different types of solutions, including alkaline, seawater, tap water, and acidic solutions. The study involved the production and testing of 260 stirrups in two different shapes (L and U) with diameters of 6 and 8 mm. The stirrups were immersed in different solutions for a period of 9 months at different temperatures (25, 40, and 60 °C). The findings indicated that the alkaline solution was the most aggressive environment, resulting in a maximum reduction of 92% in tensile strength after 9 months at 60 °C. Seawater and acidic solutions were the second and third most...
A new simplified formula in prediction of the resonance velocity for multiple masses traversing a thin beam
, Article Scientia Iranica ; Volume 23, Issue 1 , 2016 , Pages 133-141 ; 10263098 (ISSN) ; Mofid, M ; Eftekhar Azam, S ; Ebrahimzadeh Hassanabadi, M ; Sharif University of Technology
2016
Abstract
In this article, transverse vibration of an Euler-Bernoulli beam carrying a series of traveling masses is analyzed. A semi-analytical approach based on eigenfunction expansion method is employed to achieve the dynamic response of the beam. The inertia of the traveling masses changes the fundamental period of the base beam. Therefore, a comprehensive parametric survey is required to reveal the resonance velocity of the traversing inertial loads. In order to facilitate resonance detection for engineering practitioners, a new simplified formula is proposed to approximate the resonance velocity
Towards an automatic diagnosis system for lumbar disc herniation: the significance of local subset feature selection
, Article Biomedical Engineering - Applications, Basis and Communications ; 2018 ; 10162372 (ISSN) ; Fayaz, F ; Nikravan, M ; Ahmadi, F ; Dolatabad, M. R ; Sharif University of Technology
World Scientific Publishing Co. Pte Ltd
2018
Abstract
Herniation in the lumbar area is one of the most common diseases which results in lower back pain (LBP) causing discomfort and inconvenience in the patients' daily lives. A computer aided diagnosis (CAD) system can be of immense benefit as it generates diagnostic results within a short time while increasing precision of diagnosis and eliminating human errors. We have proposed a new method for automatic diagnosis of lumbar disc herniation based on clinical MRI data. We use T2-W sagittal and myelograph images. The presented method has been applied on 30 clinical cases, each containing 7 discs (210 lumbar discs) for the herniation diagnosis. We employ Otsu thresholding method to extract the...
Short-term durability of GFRP stirrups under wet-dry and freeze–thaw cycles
, Article Construction and Building Materials ; Volume 398 , 2023 ; 09500618 (ISSN) ; Hajmoosa, A. H ; Mahmoudi, M ; Bazli, M ; Ebrahimzadeh, M ; Sharif University of Technology
Elsevier Ltd
2023
Abstract
GFRP stirrups are a promising alternative to conventional steel stirrups due to their non-corrosive nature. However, their performance under cyclic exposure to wet-dry and freeze–thaw conditions in seawater needs to be evaluated to ensure their long-term durability and sustainability. This study investigates the tensile strength of glass fibre reinforced polymer (GFRP) stirrups under seawater wet-dry cycles and seawater and tap water freeze–thaw cycles. In total, 220 stirrups in two different shapes, i.e. U and L shapes, and two different diameters, i.e. 6 mm and 8 mm were manufactured, conditioned, and tested under stirrup tensile test. Conditioned stirrups were subjected to 9 months and 18...
Enhancement of bond characteristics between sand-coated GFRP bar and normal weight and light-weight concrete using an innovative anchor
, Article Engineering Structures ; Volume 294 , 2023 ; 01410296 (ISSN) ; Shakiba, M ; Bazli, M ; Ebrahimzadeh, M ; Arashpour, M ; Sharif University of Technology
Elsevier Ltd
2023
Abstract
To prevent the concrete bar from slipping, a common approach is to ensure an adequate development length or bend it upwards. However, in the case of fiber reinforcement polymer (FRP) bars, on-site bending is not feasible. Therefore, employing a mechanical end-anchor offers an alternative solution to enhance the bond in reinforced concrete. This study investigates the influence of end-anchor shape on ribbed sand-coated glass fiber-reinforced polymer (GFRP) bars, utilizing four different types of mechanical end-anchors. Additionally, the effects of concrete type and compressive strength are evaluated by considering normal-weight concrete (NC) and light-weight concrete (LC) with compressive...
Development of a Validation and Calibration Algorithm for Thermohydraulic Sensors of Bushehr NPP First Circuit Using Neural Networks
, M.Sc. Thesis Sharif University of Technology ; Ghaffari, Mohsen (Supervisor) ; Moshkbar-Bakhshayesh, Khalil (Co-Supervisor)
Abstract
Sensors are one of the most vital instruments in Nuclear Power Plants (NPP), and operators and safety systems monitor various parts of the NPP and control transients by analyzing the values reported by the sensors. Failure to detect malfunctions or anomalies in them would lead to catastrophic consequences. A new approach based on thermo-hydraulic simulation by RELAP5 code and Feed-Forward Neural Networks (FFNN) is given to detect faulty sensors and estimate their correct value which are two main objectives of the current study. This approach consists of two main parts; The first part, Fault Detection Hyper Block (FDHB), responsible for detecting faulty sensors, and the second part,...
Analysis, Diagnosis and Improvement of Supply Chain (Case Study: SAIPA Automobile Manufacturer)
, M.Sc. Thesis Sharif University of Technology ; Akbari Jokar, Mohammad Reza (Supervisor)
Abstract
Supply chain consists of many important processes that are critical to be analyzed in order to enhance effectiveness and efficiency of the whole organization. This survey presents a state-of-the-art approach for evaluating the health of supply chain processes by conducting a structure based diagnostic methodology. The proposed method is conducted in an Iranian automotive manufacturer and results are validated based on internal documents. The results of assessment can be used to improve supply chain performance by suggesting various projects. Finally different analysis like theme analysis is performed on extracted diagnosis and on suggested projects
Channel-Selection-Based right and left-hand movement detection: a step toward online EEG processing
, Article 11th RSI International Conference on Robotics and Mechatronics, ICRoM 2023 ; 2023 , Pages 776-781 ; 979-835030810-5 (ISBN) ; Nazemi, H ; Khezri, M ; Meghdari, A ; Ghazizadeh, A ; Taheri, A ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2023
Abstract
The interpretation of brain signals has consistently been a captivating subject for rehabilitation specialists. This interest prompts the development of interfaces that facilitate the interface between human cognition and an external device. These interfaces are commonly regarded as brain-computer interfaces (BCIs). However, a significant limitation of many existing BCI systems is their inadequate computational efficiency, which hinders their practical applicability in real-world scenarios. In this study, we present a channel-selection-based electroencephalogram (EEG) analyzing method, which enhances the BCIs to be used in real-time applications. To be specific, this method enables real-time...
Experimental study on enhanced oil recovery by low salinity water flooding on the fractured dolomite reservoir
, Article Iranian Journal of Chemistry and Chemical Engineering ; Volume 40, Issue 5 , 2021 , Pages 1703-1719 ; 10219986 (ISSN) ; Gerami, S ; Safekordi, A. A ; Bahramian, A. R ; Ganjeh Ghazvini, M ; Sharif University of Technology
Iranian Institute of Research and Development in Chemical Industries
2021
Abstract
Enhanced Oil Recovery from carbonate reservoirs is a major challenge especially in naturally fractured formations where spontaneous imbibition is a main driving force. The Low Salinity Water Injection (LSWI) method has been suggested as one of the promising methods for enhanced oil recovery. However, the literature suggests that LSWI method, due to high dependence on rock mineralogy, injected and formation water salt concentration, and complexity of reactions is not a well-established technology in oil recovery from carbonate reservoirs. The underlying mechanism of LSWI is still not fully understood. Due to lack of LSWI study in free clay dolomite fractured reservoir, and to investigate of...
Dose-dependent effects of nanoscale graphene oxide on reproduction capability of mammals
, Article Carbon ; Volume 95 , December , 2015 , Pages 309-317 ; 00086223 (ISSN) ; Ghaderi, E ; Hashemi, E ; Akbari, E ; Sharif University of Technology
Elsevier Ltd
2015
Abstract
In vivo dose-dependent effects of nanoscale graphene oxide (NGO) sheets on reproduction capability of Balb/C mice were investigated. Biodistribution study of the NGO sheets (intravenously injected into male mice at dose of ∼2000 μg/mL or 4 mg/kg of body weight) showed a high graphene uptake in testis. Hence, in vivo effects of the NGO sheets on important characteristics of spermatozoa (including their viability, morphology, kinetics, DNA damage and chromosomal aberration) were evaluated. Significant in vivo effects was found at the injected concentrations ≥200 μg/mL after (e.g., ∼45% reduction in sperm viability and motility at 2000 μg/mL). Observation of remarkable DNA fragmentations and...
Accelerated differentiation of neural stem cells into neurons on ginseng-reduced graphene oxide sheets
, Article Carbon ; Volume 66 , January , 2014 , Pages 395-406 ; Ghaderi, E ; Abouei, E ; Hatamie, S ; Ghasemi, E ; Sharif University of Technology
2014
Abstract
Asian red ginseng was used for green reduction of chemically exfoliated graphene oxide (GO) into reduced graphene oxide (rGO). The reduction level and electrical conductivity of the ginseng-rGO sheets were comparable to those of hydrazine-rGO ones. Reduction by ginseng resulted in repairing the sp 2 graphitic structure of the rGO, while hydrazine-rGO showed more defects and/or smaller aromatic domains. The ginseng-rGO sheets presented a better stability against aggregation than the hydrazine-rGO ones in an aqueous suspension. Whilst the hydrophobic hydrazine-rGO films exhibited no toxicity against human neural stem cells (hNSCs), the hydrophilic GO and ginseng-rGO films (as more...
Contested framings and policy controversies: Analysing biosafety policy-making in Iran
, Article Science and Public Policy ; Volume 40, Issue 5 , 2013 , Pages 616-627 ; 03023427 (ISSN) ; Millstone, E ; Sharif University of Technology
2013
Abstract
Vigorous debates have taken place within and between many countries about regulatory policy regimes covering the assessment and approval of genetically modified (GM) crops. In Iran, a very vigorous and hotly contested policy debate concerning legislation covering GM crops occurred between 2004 and 2009, but it was confined within government circles with almost no public discussion. This paper analyses the Iranian policy-making process in the period 2006-9. It explains how and why a stalemate arose in disputes between ministries and departments. The chosen analytical framework draws mainly on the regulation of technological risks and the analysis of public policy-making. It deploys the...