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    Managed-pressure drilling: Techniques and options for improving operational safety and efficiency

    , Article Petroleum and Coal ; Volume 54, Issue 1 , May , 2012 , Pages 24-33 ; 13377027 (ISSN) Rohani, M. R ; Sharif University of Technology
    2012
    Abstract
    In the most of the drilling operations a considerable amount of money is spent for drilling related problems; including stuck pipe, lost circulation, and excessive mud cost. In order to decrease the percentage of non-productive time (NPT) caused by these kind of problems, the aim is to control annular frictional pressure losses especially in the fields where pore pressure and fracture pressure gradient is too close which is called narrow drilling window. By solving these problems, drilling cost will fall, therefore enabling the industry to be able to drill wells that were previously uneconomical. Managed pressure drilling (MPD) is a new technology that enables a driller to more precisely... 

    Detection of Phishing Websites Using Fast Flux Service Networks

    , M.Sc. Thesis Sharif University of Technology Rohani, Hoda (Author) ; Kharrazi, Mehdi (Supervisor)
    Abstract
    One of the most famous attacks through the internet is the phishing attack. There have been several tools which have been applied in order to discover and confront against this type of attack. Since attackers can change their approaches by spending little cost, they apply methods in order to elude these tools. One of the tricks which has been popular between attackers recently is utilization of Fast-Flux Service Networks. By using these destructive networks, recognition of the main server becomes more complicated. Therefore, the server obtains more accessibility in comparison to the past situation and the life time becomes longer.In this thesis, by collecting data of Sharif server and... 

    Short-run process control based on non-conformity degree

    , Article World Congress on Engineering 2010, WCE 2010, London, 30 June 2010 through 2 July 2010 ; Volume 3 , 2010 , Pages 2273-2276 ; 20780966(Online ISSN) ; 9789881821089 (ISBN) Aminnayeri, M ; Torkamani, E. A ; Davodi, M ; Ramtin, F ; IAENG Society of Artificial Intelligence ; Sharif University of Technology
    2010
    Abstract
    Statistical Process Control (SPC) is an approach that uses statistical techniques to monitor the process. The techniques of quality control are widely used in controlling any kinds of processes. One of these processes is the short processes. In short run processes often do not have enough data in each run to produce good estimates of the process parameters. This will cause the reduction of the performance and efficiency of control charts. A common solution to this problem is considering a single machine or process to produce many different parts, or different products. In this paper a new method based on non-conformity degree and fuzzy membership functions has been developed for controlling... 

    Rolling Element Bearing Fault Diagnosis and Prognosis

    , Ph.D. Dissertation Sharif University of Technology Rohani Bastami, Abbas (Author) ; Behzad, Mehdi (Supervisor)
    Abstract
    Diagnostic and prognostic of spall defect in the rolling element bearings is investigated in this thesis. A new numerical model is proposed which considers defect size, defect clearance and defect roughness. The results of this model based on surface roughness show superior similarity to experimental data than classic model. To improve diagnostic ability in the rolling element bearings, four new methods are proposed in this thesis. These methods are short-time statistical features, local curve roughness, level crossing and wavelet packet decomposition. These methods are applied in outer ring, inner ring and ball defects and it is showed that these methods have better detection ability... 

    Foam stability and foam-oil interactions

    , Article Petroleum Science and Technology ; Vol. 32, issue. 15 , May , 2014 , p. 1843-1850 ; ISSN: 10916466 Rashed Rohani, M ; Ghotbi, C ; Badakhshan, A ; Sharif University of Technology
    2014
    Abstract
    Gas injection into reservoirs can be used to increase oil recovery. However, reservoir heterogeneity and high gas mobility reduce sweep efficiency and decrease recovery. Using foam can reduce gas mobility and therefore increase sweep efficiency. Foam is thermodynamically unstable, so it is important to predict the foam stability. In order to understand the influence of oil presence on foam stability, static experiments performed on foam by varying the type and amount of added oil and molecular weight of added alkane. Also static foam properties have been investigated by varying the surfactant concentration, ionic strength, composition of different salts in the sample, and addition of polymer... 

    Solid/liquid filtration in GTL process

    , Article 19th International Congress of Chemical and Process Engineering, CHISA 2010 and 7th European Congress of Chemical Engineering, ECCE-7, 28 August 2010 through 1 September 2010 ; 2010 Bastani, D ; Jowkarderis, L ; Rohani, A. A ; Sharif University of Technology
    2010
    Abstract
    Fischer-Tropsch synthesis is performed in slurry reactors and it is essential to employ a continuous separation method to separate the catalyst particles suspended in the product wax. A study was conducted to where the separation process was carried out by internal filtration method using a sintered metal filter. The filtrate flow rate increased by increasing the temperature. Increasing the pressure difference had positive effects on the filtrate flow rate at the beginning of the process. Backwashing by both liquid and gas was more effective than by performing the backwashing operation only by gas. This is an abstract of a paper presented at the 7th European Congress of Chemical... 

    A new category of relations: combinationally constrained relations

    , Article Scientia Iranica ; Volume 16, Issue 1 D , 2009 , Pages 34-52 ; 10263098 (ISSN) Rohani Rankoohi, M. T ; Mirian Hosseinabadi, H ; Sharif University of Technology
    2009
    Abstract
    The normalization theory in relational database design is a classical subject investigated in different papers. The results of these research works are the stronger normal forms such as 5NF, DKNF and 6NF. In these normal forms, there are less anomalies and redundancies, but it does not mean that these stronger normal forms are free of anomalies and redundancies. Each normal form discussion is based on a particular constraint. In this paper, we introduce relations which contain a new kind of constraint called "combinational constraint". We. distinguish two important kinds of this constraints, namely Strong and Weak. Also we classify the. Combinationally Constrained Relations as Single and... 

    Memristor crossbar-based hardware implementation of the IDS method

    , Article IEEE Transactions on Fuzzy Systems ; Volume 19, Issue 6 , Dec , 2011 , Pages 1083-1096 ; 10636706 (ISSN) Merrikh Bayat, F ; Shouraki, S. B ; Rohani, A ; Sharif University of Technology
    2011
    Abstract
    Ink drop spread (IDS) is the engine of an active learning method, which is the methodology of soft computing. IDS, as a pattern-based processing unit, extracts useful information from a system that is subjected to modeling. In spite of its excellent potential to solve problems such as classification and modeling compared with other soft-computing tools, finding its simple and fast hardware implementation is still a challenge. This paper describes a new hardware implementation of the IDS method that is based on the memristor crossbar structure. In addition to simplicity, being completely real time, having low latency, and the ability to continue working properly after the occurrence of power... 

    Prognostics of rolling element bearings with the combination of Paris law and reliability method

    , Article 2017 Prognostics and System Health Management Conference, PHM-Harbin 2017 - Proceedings, 9 July 2017 through 12 July 2017 ; 2017 ; 9781538603703 (ISBN) Behzad, M ; Addin Arghan, H ; Rohani Bastami, A ; Sharif University of Technology
    2017
    Abstract
    In this research, a combination of the physical model based on Paris law and probability method is proposed for remaining useful life prediction of rolling element bearings. Level crossing is used as a feature that represents a linear relationship with defect size. Considering this linear relationship and using Paris law, a new model has been developed for bearings that follow degradation pattern with two stages. In this pattern, a bearing starts working in the healthy condition. Then it starts slow degradation stage and finally it goes to fast degradation stage until it reaches to the failure threshold. Considering a normal distribution for transition point from the slow degradation to the... 

    Estimation of remaining useful life of rolling element bearings using wavelet packet decomposition and artificial neural network

    , Article Iranian Journal of Science and Technology - Transactions of Electrical Engineering ; Volume 43 , 2019 , Pages 233-245 ; 22286179 (ISSN) Rohani Bastami, A ; Aasi, A ; Arghand, H. A ; Sharif University of Technology
    Springer International Publishing  2019
    Abstract
    Rolling element bearings (REBs) are usually considered among the most critical elements of rotating machines. Therefore, accurate prediction of remaining useful life (RUL) of REBs is a fundamental challenge to improve reliability of the machines. Vibration condition monitoring is the most popular method used for diagnosis of REBs and this is a motivating fact to use recorded vibration data in RUL prediction too. However, it is necessary to extract appropriate features from vibration signal that represent actual damage progress in the REB. In this paper, wavelet packet transform is used to extract signal features and artificial neural network is applied to estimate RUL of the REB. To obtain... 

    Remaining useful life prediction of ball-bearings based on high-frequency vibration features

    , Article Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science ; Volume 232, Issue 18 , 2018 , Pages 3224-3234 ; 09544062 (ISSN) Behzad, M ; Arghand, H. A ; Rohani Bastami, A ; Sharif University of Technology
    SAGE Publications Ltd  2018
    Abstract
    Selecting appropriate features from the vibration condition monitoring data of ball-bearings is one of the main challenges in the application of data-driven methods for remaining useful life prediction purpose. In this article, a new feature based on the high-frequency vibration of ball-bearings is proposed. The feed forward neural network will be used for training and prediction. The experimental data of the bearing accelerated life in the PROGNOSTIA test (published in PHM 2012 IEEE conference) are used to verify the method. The results obtained by applying new features are compared with those of two popular features in the time domain (RMS and kurtosis) for prognostic purpose. Applying the... 

    Investigation & Analysis of Lens-like Effects in Nano Metallic Meshes

    , M.Sc. Thesis Sharif University of Technology Rohani, Ali (Author) ; Rashidian, Bijan (Supervisor) ; Mehrany, Khashayar (Supervisor)
    Abstract
    Charged particle lenses perform two types of operations. One purpose of lenses is to confine a beam, or maintain a constant or slowly varying radius. This is important in high-energy accelerators where particles must travel long distances through a small bore.A second function of lenses is to focus beams or compress them to the smallest possible radius. If the particles are initially parallel to the axis, a linear field lens aims them at a common point. Focusing leads to high particle flux or a highly localized beam spot. Focusing is important for applications such as scanning electron microscopy, ion microprobes, and ion-beam-induced inertial fusion. All modern lenses, have fully metal... 

    Brain Inspired Meta Reinforcement Learning Using Brain-Inspired Networks

    , M.Sc. Thesis Sharif University of Technology Razavi Rohani, Roozbeh (Author) ; Soleymani Baghshahi, Mahdih (Supervisor)
    Abstract
    Reinforcement learning is one of the most well-known learning paradigms in biological agents and one of the most used ones for solving plenty of problems. One of the reasons for this widespread use is the low demand for supervising signals. However, the sparsity of the reward signal causes increasing in sample complexity that needs for learning new tasks. This issue makes trouble in multi-task settings, specifically.One of the most promising approaches to learning new tasks by limited interaction with the environment is meta reinforcement learning. An approach in which fast adaption becomes possible by limiting hypothesis space and creating inductive biases by learning meta parameters.... 

    Synthesis and application of diethanolamine-functionalized polystyrene as a new sorbent for the removal of p-toluenesulfonic acid from aqueous solution

    , Article Journal of Industrial and Engineering Chemistry ; Volume 30 , October , 2015 , Pages 281-288 ; 1226086X (ISSN) Davarpanah, M ; Ahmadpour, A ; Rohani Bastami, T ; Dabir, H ; Sharif University of Technology
    Korean Society of Industrial Engineering Chemistry  2015
    Abstract
    Polystyrene resin was functionalized by diethanolamine for the efficient removal of p-toluenesulfonic acid (p-TSA) from aqueous solution. Functionalized adsorbent (DEA-PS) was characterized by elemental analysis, Fourier transform infrared spectroscopy, point of zero charge measurement and field-emission scanning electron microscopy. According to the results, maximum removal of p-TSA was observed at the pH range of 2.5-5. The adsorption kinetics of p-TSA onto DEA-PS was represented by pseudo-first-order model and the equilibrium data followed Langmuir model well. The adsorption process was endothermic and spontaneous, along with the positive change of entropy. The regeneration of DEA-PS was... 

    High temperature synthesis of SAPO-34: applying an L9 taguchi orthogonal design to investigate the effects of experimental parameters

    , Article Powder Technology ; Volume 217 , February , 2012 , Pages 223-230 ; 00325910 (ISSN) Dargahi, M ; Kazemian, H ; Soltanieh, M ; Hosseinpour, M ; Rohani, S ; Sharif University of Technology
    2012
    Abstract
    SAPO-34 zeolite-like particles were successfully synthesized at high temperature environment. An L9 orthogonal array of the Taguchi method was implemented to investigate the effects of experimental conditions to prepare SAPO-34 with respect to crystallinity of the final product phase. The results showed that the favorable phase crystallinity was improved by increasing the hydrothermal synthesis temperature and organic template content, whereas increasing the water content in synthesis mixture decreased the crystallinity. No significant changes in crystallinity of the final products were observed by increasing the synthesis duration. In addition, zeolite SAPO-5, which was formed as the... 

    Rapid high-temperature synthesis of SAPO-34 nanoparticles

    , Article Particuology ; Volume 9, Issue 5 , October , 2011 , Pages 452-457 ; 16742001 (ISSN) Dargahi, M ; Kazemian, H ; Soltanieh, M ; Rohani, S ; Hosseinpour, M ; Sharif University of Technology
    2011
    Abstract
    Decreasing particle size results in larger increase of external surface area and shorter diffusion path, both reducing mass and heat transfer resistances in catalysis and sorption. A rapid high-temperature hydrothermal synthesis method was developed to synthesize uniform nanoparticles of SAPO-34 zeolite with high crystallinity. To investigate the effects of temperature and synthesis time on purity and crystallinity of the final products, the crystallization temperature was increased from 468 to 673 K while the synthesis time was decreased from 24 h to 45 min. The products were characterized by XRD and SEM techniques. It was found that high temperature and short synthesis time reduce the... 

    Effect of recycle gas composition of the performance of Fischer-Tropsch catalyst

    , Article Petroleum Science and Technology ; Volume 28, Issue 5 , 2010 , Pages 458-468 ; 10916466 (ISSN) Rohani, A. A ; Khorashe, F ; Safekordi, A. A ; Tavassoli, A ; Sharif University of Technology
    2010
    Abstract
    In this study, the influence of CO2 and CH4 on the performance and selectivity of Co-Ru/Al2O3 catalyst is investigated by injection of these gases (0-20 vol.% of feed) to the feed stream. The effect of temperature and feed flow rate are also inspected. The results show that low amounts of CO2 in the feed stream do not change the catalyst activity, but increasing the amount of CO2 (more than 10 vol.%), causes the CO conversion to decrease and the selectivity of heavy components to increase. Methane acts as an inert gas and does not affect the catalyst performance. Increasing feed flow rate has a negative effect on both CO conversion and heavy component selectivity. By raising the temperature,... 

    , M.Sc. Thesis Sharif University of Technology Rashed Rohani, Mostafa (Author) ; Ghotbi, Siroos (Supervisor) ; Badakhshan, Amir (Supervisor)

    Cryptanalysis of Stream Ciphers By Structural Attacks

    , M.Sc. Thesis Sharif University of Technology Rohani, Neda (Author) ; Aref, Mohammad Reza (Supervisor) ; Mohajeri, Javad (Supervisor)
    Abstract
    According to the development of communication, cryptography has become a vital issue. Several algorithms have been introduced for cryptography applications. Stream ciphers are such algorithms with high speed and appropriate efficiency. Lots of attacks have been applied to stream ciphers. We concentrate on two kinds of attacks in this thesis. Distinguishing attack is a general attack in which the attacker tries to distinguish the observed output sequence from random. Designers apply this kind of attack to test the statistical probabilities of the output sequence. We applied this attack on Grain family and Trivium family. In the proposed attack, nonlinear parts are replaced with linear ones.... 

    Separation of Catalyst from Wax Using Internal Filtration in Fischer-Tropsch Process

    , M.Sc. Thesis Sharif University of Technology Jowkarderis, Leila (Author) ; Bastani, Daruoosh (Supervisor) ; Rohani, Ali Asghar (Supervisor)
    Abstract
    Fischer-Tropsch synthesis is a major part of gas-to-liquid (GTL) technology, which converts natural gas into liquid fuels with very low sulfur and aromatic content. Nowadays, this exothermic reaction is performed in slurry reactors; therefore it is essential to separate solid catalyst particles, suspended in the liquid products. In this study, without performing real experiment and chemical reaction, separation of Alumina supported Cobalt Catalyst from wax is carried out by internal filtration. For the first time in this research, the effect of different parameters like pressure difference, wax viscosity and filter pore size on the quantity and quality of filter performance is investigated....