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The Insider Threat: Analyzing and Modeling
, M.Sc. Thesis Sharif University of Technology ; Hendesi, Faramarz (Supervisor)
Abstract
Nowadays, most of businesses are becoming computer-based. This trend causes the organizations to become more vulnerable to internal and external threats. Internal threats are done through insiders. Insiders unlike outsiders have capabilities which aid them to easily carry out their illicit activities. Unfortunately, most of research in computer security has focused on the outsider threats, whereas the most damaging is the result of insiders’ illicit activities.This dissertation addresses three primary necessities of the research in the area of insider threat: a consistent definition of insider threat, a classification of types of insider threats, and a classification of vulnerabilities which...
Benefit Segmentation Based on Service Quality Dimensions in Retail Banking in Iran
, M.Sc. Thesis Sharif University of Technology ; Modarres, Abdolhamid (Supervisor)
Abstract
Banks and financial services typically focus on geographic, demographic, socio-economic, and psychological characteristics to segment the market, in spite of the fact that these are not efficient predictors of future buying behavior of customers. In the present study, benefit segmentation has been used to group retail banking customers in relation to their particular attitudes and behavior. In particular, the identification and measurement of the two major dimensions of service quality, process (how the service is delivered) and outcome (what is delivered) have been investigated to better understand of what constitutes service quality from the customer’s viewpoint. In order to derive...
An Intelligent Routing Protocol for Delay Tolerant Networks Using Genetic Algorithm
, M.Sc. Thesis Sharif University of Technology ; Hendessi, Faramarz (Supervisor)
Abstract
Due to the dynamic topology of vehicular ad hoc networks, routing of packets in these networks faces a lot of difficulties. The situation will become more challenging when we have to deal with Delay Tolerant Networks (DTN) which are also sparse and partitioned and we need to use some vehicles to store the packets and carry them from one partition to another. Despite all these difficulties, by looking through movements of vehicles in an urban environment, we can find out that the topology of the network does not change in a pure random way and we can bring the traffic models of streets into account for having better routing performance. In this thesis, we proposed an intelligent routing...
Correlation between structural performance levels and damage indexes in steel frames subjected to earthquakes
, Article Scientia Iranica ; Volume 16, Issue 2 A , 2009 , Pages 147-155 ; 10263098 (ISSN) ; Estekanchi, H ; Vafai, A ; Sharif University of Technology
2009
Abstract
Various damage indexes have been introduced in recent years incorporating different parameters for estimating structural damage. Amongst these indexes, Plastic Ductility and Drift have been the center of attention of standards and building codes, like FEMA-356, because of their straightforward physical interpretation and ease of calculation. In this paper, several steel moment frames have been considered and their responses have been evaluated under a set of scaled earthquakes. A group of various damage indexes, which included cumulative and non cumulative, cyclic fatigue based, deformation based and modal parameter based, has been considered and the damage to structures has been evaluated...
Synthesis of Nano Ceramic Powders for Drug Delivery and It’s Release
, M.Sc. Thesis Sharif University of Technology ; Nemati, Ali (Supervisor) ; Dobakhti, Faramarz (Supervisor)
Abstract
In this project, Fe3O4 nanoparticles were synthesized and coated with different polymeric materials for drug delivery application. For this purpose, water dispersible oleic acid(OA)- pluronic block copolymer coated magnetite iron oxide nanoparticles were synthesized that can be loaded with proper doses of cephalexin. Our data indicated that formulation of iron oxide nanoparticles was developed by optimizing the amount of oleic acid required to coat iron oxide nanoparticles and then by optimizing the amount of pluronic required to form an aqueous dispersion of oleic acid coated nanoparticles. Synthesis of magnetite nanoparticles was done by the addition of a strong base (NH4OH) to ferrous...
Modelling of 2D Fluidized Beds using the DPM Method and Investigation of the Pressure Effect on Particle-Wall Collision Frequency
, M.Sc. Thesis Sharif University of Technology ; Molaei Dehkordi, Asghar (Supervisor)
Abstract
In this work, a comprehensive survey on the different methods of modeling fluidized beds was done. Finally, the discrete particle method with soft particle approach was selected as the method of modeling the solid phase. For the gas phase, computational fluid dynamics (CFD) as the method of modeling is used. In order to verify our simulation results for the solid phase, a simulation of a bed with many particles distributed all around the bed was done. At the first second of the simulation, the gas phase flow was truned off and the particles were falling down. The results obtained with this method were verified with the references. For verification of the gas phase, a 2D bed with the gas...
Proof of humanity: a tax-aware society-centric consensus algorithm for blockchains
, Article Peer-to-Peer Networking and Applications ; Volume 14, Issue 6 , 2021 , Pages 3634-3646 ; 19366442 (ISSN) ; Fotuhi Firuzabad, M ; Dorri, A ; Dehghanian, P ; Sharif University of Technology
Springer
2021
Abstract
Blockchain technology brings about an opportunity to maintain decentralization in several applications, such as cryptocurrency. With the agents of a decentralized system operating independently, it calls for a consensus protocol that helps all nodes to agree on the state of the ledger. Most of the existing blockchains rely on Proof of Work (PoW) as the underlying consensus algorithm, resulting in a significant amount of electricity power consumption. Furthermore, it demands the miner to buy specific computation devices. Besides, a protocol to gather the society-related taxes such as public education funding and charities is lacking in existing consensus algorithms. In response, this paper...
Seasonal pollutant removal by Lactuca sativa, Medicago sativa and Phragmites australis in constructed wetlands
, Article Applied Ecology and Environmental Research ; Volume 15, Issue 4 , 2017 , Pages 67-76 ; 15891623 (ISSN) ; Borghei, S. M ; Arjomandi, R ; Nouri, J ; Pendashteh, A ; Sharif University of Technology
Corvinus University of Budapest
2017
Abstract
The main objective of this study was to compare the removal efficiency of nutrients using Lactuca sativa, Medicago sativa and Phragmites australis in subsurface flow constructed wetlands with horizontal flow. In order to test water quality, fabricated reactors designed and the plants cultivated in the soil while their root were inside the wastewater. A long time study carried out from spring till end of autumn (9 months) in order to evaluate the difference in removal rate based on the seasonal changes. The highest removal rate was during summer which followed by spring and autumn. Thus, the effect of plants on the removal efficiency of organic matter (COD, BOD), TSS and nutrient (P and TN)...
A hybrid machine learning and optimization model to minimize the total cost of BRT brake components
, Article Journal of Advanced Transportation ; Volume 2021 , 2021 ; 01976729 (ISSN) ; Shams Gharneh, N ; Arjomandi Nezhad, A ; Hassannayebi, E ; Sharif University of Technology
Hindawi Limited
2021
Abstract
Public transport is amongst critical infrastructures in modern cities, especially megacities, home to millions of people. The reliability of these systems is highly crucial for both citizens and service providers. If service providers overlook system reliability, a considerable amount of expenses will be wasted. Several factors such as vehicle failure, accident, lack of budget weather factors, and traffic congestion cause unreliability, among which vehicle failure plays a prominent role. The brake system is the most vulnerable and vital component of a public transportation bus. Brake reliability depends on driver's expertise, component quality, passenger loading, line situation, etc....
Budget-constrained drone allocation for distribution system damage assessment
, Article IET Smart Grid ; 2021 ; 25152947 (ISSN) ; Moeini Aghtaie, M ; Fotuhi Firuzabad, M ; Aminifar, F ; Sharif University of Technology
John Wiley and Sons Inc
2021
Abstract
Natural disasters threaten the sustainability of electric power supply. This fact highlights the importance of enhancing technological resourcefulness to handle the upcoming events. Once a natural disaster occurs, the most urgent undertaking is to rapidly pinpoint and assess component damages and dispatch the repair crews towards the most critical impaired elements. Practical efforts confirm that utilising a drone, which is an unmanned aerial vehicle, can notably reduce the duration of post-disaster distribution system damage assessment (DA) and increase the resilience of power systems. This study presents an optimisation model to determine the optimal number and type of drones required for...
Budget-constrained drone allocation for distribution system damage assessment
, Article IET Smart Grid ; Volume 5, Issue 1 , 2022 , Pages 42-50 ; 25152947 (ISSN) ; Moeini Aghtaie, M ; Fotuhi Firuzabad, M ; Aminifar, F ; Sharif University of Technology
John Wiley and Sons Inc
2022
Abstract
Natural disasters threaten the sustainability of electric power supply. This fact highlights the importance of enhancing technological resourcefulness to handle the upcoming events. Once a natural disaster occurs, the most urgent undertaking is to rapidly pinpoint and assess component damages and dispatch the repair crews towards the most critical impaired elements. Practical efforts confirm that utilising a drone, which is an unmanned aerial vehicle, can notably reduce the duration of post-disaster distribution system damage assessment (DA) and increase the resilience of power systems. This study presents an optimisation model to determine the optimal number and type of drones required for...
Fire Probabilistic Safety Assessment (Fire-PSA)Level 1 in Auxiliary Building ofIR-360 Nuclear Power Plant
,
M.Sc. Thesis
Sharif University of Technology
;
Ghofrani , Mohammad Bagher
(Supervisor)
;
Yousefpour, Faramarz
(Supervisor)
;
Karimi, Kaveh
(Co-Advisor)
Abstract
Fire is one of the most important events in nuclear power plants which has a large share of total core damage frequency. For example, the core damage frequency in Bushehr nuclear power plant from fire accidents is 6.1E-6/ year which is equivalent to about 63 percent of core damage frequency from all internal accidents. However, due to the unavoidable presence of flammable materials, e.g. Electrical equipment, cables, gas, flammable liquids, …), it is impossible to prevent fires in these plants . Fire at nuclear power plants may be caused directly or indirectly by one or more initiating events, which the following accidents in turn would threaten the safety of the plant. In this project,...
Probabilistic Safety Assessment of IR-360 for Station BlackOut Accident (SBO) and Determination of the Frequency of Occurrence
, M.Sc. Thesis Sharif University of Technology ; Ghofrani, Mohammad Bagher (Supervisor) ; Yousefpour, Faramarz (Supervisor) ; Karimi, Kave (Co-Advisor)
Abstract
Station Blackout (SBO) involves Loss of Offsite Power (LOOP) concurrent with failure of the onsiteemergency ac power system. Although SBO is a beyond designbasis accident, in recent years this accident attracts a lot of attention. Fukushima nuclear accident which was initiated by earthquake followedby tsunami led to a SBO accident. In this thesis, Probabilistic Safety Assessment (PSA) is applied to analyze SBO in IR-360 nuclear power plant and to compute its frequency. Meanwhile, weak points of the plant are identified in order to minimize the SBOprobability of occurrence. Fault tree method is used to evaluate emergency power system and offsite power system reliabilities. Common Cause...
Solvent effects on kinetics of an heteroatomic nucleophilic substitution reaction in ionic liquid and molecular solvents mixtures
, Article Russian Journal of Physical Chemistry A ; Volume 87, Issue 12 , December , 2013 , pp 1969-1975 ; 1531-863X ; Pedervand, M. (Mohsen) ; Sadeghzadeh-Darabi, F. (Faramarz) ; Gholami, M. R. (Mohammad Reza) ; Sharif University of Technology
2013
Abstract
Rate constants, k A, for the aromatic nucleophilic substitution reaction of 2-chloro-3,5-dinitropyridine with aniline were determined in different compositions of 2-propanol mixed with hexane, benzene, and 2-methylpropan-2-ol and 1-ethyl-3-methylimidazolium ethylsulfate ([Emim][EtSO4]) with dimethyl sulfoxide at 25°C. The obtained rate constants of the reaction in pure solvents are in the following order: 2-methylpropan-2-ol > dimethyl sulfoxide > 2-propanol > hexane > benzene > [Emim][EtSO4]. Molecularmicroscopic solvent parameters corresponding to the selected binary mixtures were utilized to study the kinetics of a nucleophilic substitution reaction in order to investigate and compare the...
Kinetic and mechanistic study of p-nitrochlorobenzene photoreduction and Bacillus inactivation over aluminosilicate-based nanocomposites
, Article Monatshefte für Chemie - Chemical Monthly ; Volume 144, Issue 5 , May , 2013 , pp 589-596 ; ISSN: 1434-4475 ; Salari, H. (Hadi) ; Sadeghzadeh Darabi, F. (Faramarz) ; Gholami, M. R. (Mohammad Reza) ; Sharif University of Technology
2013
Abstract
Photocatalytic reduction of p-nitrochlorobenzene was studied over aluminosilicate-based AgBr and AgBr-TiO2 photocatalysts which were prepared and characterized. The photoreaction was performed in the presence of LiBH4, which is a strong reducing agent, in the solution medium. A new mechanism is proposed for reduction of p-nitrochlorobenzene under photocatalytic conditions. The effect of pH, illumination source, LiBH4 concentration, temperature, catalyst dosage, and alcoholic scavengers was also studied. The results showed that the best efficiency was obtained over Ag/AgBr/TiO2/aluminosilicates at natural pH under UV light. We observed that the reaction yield was affected by changing the...
Modeling and optimizing recovery strategies for power distribution system resilience
, Article IEEE Systems Journal ; Volume 15, Issue 4 , 2021 , Pages 4725-4734 ; 19328184 (ISSN) ; Fotuhi Firuzabad, M ; Moeini Aghtaie, M ; Safdarian, A ; Dehghanian, P ; Wang, F ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2021
Abstract
Both frequency and intensity of natural disasters have intensified in recent years. It is, therefore, essential to design effective strategies to minimize their catastrophic consequences. Optimizing recovery tasks, including distribution system reconfiguration (DSR) and repair sequence optimization (RSO), are the key to enhance the agility of disaster recovery. This article aims to develop a resilience-oriented DSR and RSO optimization model and a mechanism to quantify the recovery agility. In doing so, a new metric is developed to quantify the recovery agility and to identify the optimal resilience enhancement strategies. The metric is defined as 'the number of recovered customers divided...
A Robust MPC method for post-disaster distribution system reconfiguration based on repair crew routing
, Article 17th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2022, 12 June 2022 through 15 June 2022 ; 2022 ; 9781665412117 (ISBN) ; Fotuhi Firuzabad, M ; Mazaheri, H ; Lehtonen, M ; Moeini Aghtaie, M ; Peyghami, S ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2022
Abstract
Distribution system reconfiguration is an effective solution to reduce the consequences of a disaster through transferring loads to another feeder via automatic switches. Meanwhile, an optimal sequence of damage components repairments provides the operator with the opportunity to utilize components that play a critical role in restoring loads sooner. Motivated by the rise in penetration of renewable distributed generators in modern distribution systems, this paper aims to develop a robust reconfiguration and crew routing co-optimization method to cope with renewable and demand uncertainties while recovering from a disaster. The method optimizes the grid recovery process for the worst...
Pandemic-Aware Day-Ahead demand forecasting using ensemble learning
, Article IEEE Access ; Volume 10 , 2022 , Pages 7098-7106 ; 21693536 (ISSN) ; Ahmadi, A ; Taheri, S ; Fotuhi Firuzabad, M ; Moeini Aghtaie, M ; Lehtonen, M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2022
Abstract
Electricity demand forecast is necessary for power systems' operation scheduling and management. However, power consumption is uncertain and depends on several factors. Moreover, since the onset of covid-19, the electricity consumption pattern went through significant changes across the globe, which made the forecasting demand more challenging. This is mainly due to the fact that pandemic-driven restrictions changed people's lifestyles and work activities. This calls for new forecasting algorithms to more effectively handle these conditions. In this paper, ensemble-based machine learning models are utilized for this task. The lockdown temporal policies are added to the feature set in order...
Nonlinear Modelling of Fluid and Solid Interaction in Shells Conveying Fluid Using Combination of FEM and BEM
, M.Sc. Thesis Sharif University of Technology ; Haddadpour, Hassan (Supervisor) ; Kord kheili, Ali (Supervisor) ; Dehghani Firouzabadi, Rohollah (Co-Advisor)
Abstract
In this M.Sc. thesis dynamics of a system of 3-D fluid (internal) and solid interaction hase been studied. Structure (shell) filled with dense fluid (liquid) and it is under large amplitude vibrations excitations. Shell is analized using geometrical nonlinear general shells formulations. The nonlinear analysis includes large displacements, large rotations and large strains without considering material nonlinearity. Based on the potential flow assumption the governing equations of fluid are derived. And using boundary elements formulations fluid hydrodynamic pressure in each step is drived. In order to simultaneous and mutual influence of fluid and structure, numerical model of combined...