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Total 81 records

    Statistical Analysis of Surface Hardness for Determination of Residual Stresses

    , M.Sc. Thesis Sharif University of Technology Mousavi, Mohammad Saleh (Author) ; Hossein Farrahi, Gholam (Supervisor) ; Faghidian, Ali (Co-Advisor)
    Abstract
    Residual stresses are stress fields that exist in the absence of any external loads. All mechanical processes can cause deformation that may lead to residual stresses. It is well established that virtually no material, no component and no structure of technical importance exists free of residual stresses. However, in practice, the knowledge of the true distribution of exiting residual stress is rare. The residual stress fields are very challenging to evaluate, independent of the measurement techniques. The important aspect about the residual stress determination is that often true distribution is unknown in the engineering specimen. A simple and non-destructive method to measure residual... 

    A Multi-scale Solution for Prediction of Mechanical Properties of Polymeric Nano Carbon Nanocomposites with Using Stochastic Approach

    , M.Sc. Thesis Sharif University of Technology Jazzab, Mohammad Javad (Author) ; Hosseini Kordkheili, Ali (Supervisor)
    Abstract
    The use of nanocomposite materials in various industries such as aerospace, oil and gas, automotive, etc. has become increasingly widespread due to its unique thermal and mechanical properties. Due to the problems and costs of the production process and experimental testing for optimal construction, it is necessary to propose a low-cost method for estimating the mechanichal properties of these materials. In this research, the mechanical properties of polymetric nano carbon nanocomposites have been estimated by multi-scale method with using finite element analysis by Abaqus software. the mechanical properties of nanocarbon composites have been extracted by using the multi-scale method that... 

    Identification of the Set of Single Nucleotide Variants in Genome Responsible for the Differentiation of Expression of Genes

    , M.Sc. Thesis Sharif University of Technology Khatami, Mahshid (Author) ; Rabiee, Hamid Reza (Supervisor) ; Beigi, Hamid (Supervisor)
    Abstract
    Single nucleotide polymorphs, There are changes caused by a mutation in a nucleotide in the Dena sequence. Mononucleotide polymorphisms are the most common type of genetic variation. Some of these changes have little or no effect on cells, while others cause significant changes in the expression of cell genes that can lead to disease or resistance to certain diseases. Because of the importance of these changes and their effect on cell function, the relationships between these changes are also important. Over the past decade, thousands of single disease-related mononucleotide polymorphisms have been identified in genome-related studies. Studies in this field have shown that the expression of... 

    Improving the Security Level of Encrypted Traffic

    , M.Sc. Thesis Sharif University of Technology Fani Tabasi, Farzam (Author) ; Jalili, Rasool (Supervisor) ; Bayat-Sarmadi, Siavash (Supervisor)
    Abstract
    Common privacy enhancing technologies fail to effectively hide the certain statistical aspects of encrypted traffic, namely individual packets length, packets direction and, packets timing. Recent researches have shown that using such traffic attributes, an adversary is able to extract various information from the encrypted traffic such as the visited website, used protocol or even spoken language. Such attacks in general are called traffic analysis attacks. Proposed countermeasure try to change the distribution of such features in users traffic but either they fail to effectively reduce the accuracy of that attacker or do so while enforcing a high degree of bandwidth overhead and timing... 

    Process-Variation-Aware Configuration Selection of Configurable MPSOC for Power-Yield Maximization

    , M.Sc. Thesis Sharif University of Technology Izadyar, Hamideh (Author) ; Goudarzi, Maziar (Supervisor)
    Abstract
    Process Variation is seen as statistical variations in leakage current and delay of transistors in nano-scale technologies. The amount of process variations increase as the size of transistors decrease by technology scaling such that those effects can be seen in frequency of MPSoC (Multi-Processor System-on-Chip) cores and their leakage power deviation. These variations cause the tasks duration and power consumption fluctuate in different processors in an MPSoC instance. Consequently, some chip instances of the same MPSoC may consume more time and power than their considered limitations. Hence considering the process variation is necessary and required for MPSoC optimization at different... 

    Providing Smooth Design Spectra for Iran by Modifying the Newmark Method

    , M.Sc. Thesis Sharif University of Technology Sanagar Darbani, Mohammad Ali (Author) ; Alijani Moghaddam, Hassan (Supervisor)
    Abstract
    Many regulations around the world use the Newmark method, directly or indirectly, in the design spectrum. Research on the Newmark design spectrum shows that this spectrum sometimes significantly differs from the earthquakes response spectra that have occurred; therefore, it is necessary to develop and introduce new design spectra by modifying the Newmark method to be more compatible with reality. The developed design spectra in seismic regulations around the world are directly affected by the records involved in their development. Thus, the appropriate design spectrum should be prepared based on the seismic characteristics of the faults of each country. Evaluation of the Iranian Seismic... 

    Modeling the Burst Pressure of Offshore Pipelines with Extensive Internal Corrosion in the Free Span

    , M.Sc. Thesis Sharif University of Technology Samadi Mal Amiri, Farzam (Author) ; Raie, Mohammad (Supervisor)
    Abstract
    Internal corrosion is one of the most common defects in pipelines. In recent decades, the use of offshore natural oil and gas resources has increased dramatically, followed by the use of offshore pipelines to transport products. At the same time, numerous accidents and explosions in offshore pipelines and their economic and environmental consequences underscore the importance of ensuring safe operation. Pipeline integrity management has been developed to ensure the safe and correct operation of pipelines. Integrity management starts with planning, then leads to inspection, then evaluation, and finally to corrective action, and this loop is repeated regularly. In this loop, the importance of... 

    Investigating the Effect Strain Rate on the Poisson’s Ratio of Auxetic Polyurethane Foams

    , M.Sc. Thesis Sharif University of Technology Behbahani, Ali (Author) ; Nourani, Amir (Supervisor)
    Abstract
    Auxetic materials have a negative Poisson ratio (NPR), which is their most distinguishable characteristic as compared to regular materials. Test specimens were made of conventional polyurethane (PU) foams according to ASTM ; then, with a thermo-mechanical process, the foam was converted to auxetic PU foam. The reproducibility of specimens' fabrication was checked with CoV= for the final foam thickness. With regard to the fact that changing loading conditions can vary Poisson's ratio, in this study, the variations occurred in Poisson's ratio due to changing loading conditions are investigated. The applied strain and strain rate were altered in experiments and statistical analysis was... 

    Computer Simulation of Arthrometric Diagnosis of Partial ACL-Injured Knee

    , M.Sc. Thesis Sharif University of Technology Rahemi, Hadi (Author) ; Farahmand, Farzam (Supervisor) ; Parnianpour, Mohammad (Supervisor)
    Abstract
    Knee pain and injuries are very common in athletes. Anterior cruciate ligament (ACL) injury is one of the most important reason of knee acute and chronic pains. As ACL plays a significant role in knee stability and due to amount of reported ACL related injuries, much effort has been placed on finding proper and on time diagnosis and treatment of these injuries. Arthrometric methods are the most non-invasive reliable diagnosis option; however they are not fully capable of separating partial injuries from intact joint. This weakness can be investigated by quantifying the tests using computer simulations; so far few studies have been conducted toward this goal. In this study a two dimensional... 

    Statistical Analysis of Parameter Fluctuation on Performance of Giga Scale Integration

    , M.Sc. Thesis Sharif University of Technology Asghari Shirvani, Rouzbeh (Author) ; Sarvari, Reza (Supervisor)
    Abstract
    Developing to the sub-micron dimentions reduces the size of integrated circuits, so interconnects and a variations in their characteristics has more effects on circuit performance. Worst case study is the most common method in these systems, but in many cases interconnect lines are independent from eachother. Analysis state that worst case is out of the distribution in many cases (with zero possibility) and result in a pessimistic design. Statistical analysis should replace worst case analysis in multi varient systems. In this titile, statistical analysis will be used to investigate performance of interconnects in new technology. Maximum variation in interconnect parameters are considered... 

    A Model to Explain the Concept of Integrity in Supply Chains

    , M.Sc. Thesis Sharif University of Technology Fakour Motlagh, Shadi (Author) ; Akbari Jokar, Mohammad Reza (Supervisor)
    Abstract
    With the increase of competition in the world of business and the advent of modern technologies, many companies in the world have turned into integration. The need for flexibility, reduction of costs, establishing close and broad connection among suppliers, producers, and distributors has caused companies to integrate their own systems and organizations so as to survive and keep going in today’s competitive, ever changing environment and finally gain competitive advantage. Supply chain management as a support for essential and operational processes of the organization is not an exception from this integration rule. Despite many views on the integrity of the supply chain, yet there is no... 

    Optimum receiver design for transmitted-reference signaling [electronic resource]

    , Article IEEE Transactions on Communications ; May 2010, Volume 58, Issue 5, P.1589-1598 Farhang, M. (Mahmoud) ; Salehi, J. A ; Sharif University of Technology
    Abstract
    Autocorrelation receiver (AcR) is usually used as the general receiver for transmitted reference (TR) communication systems on a quite intuitive basis. In this paper, we apply the principle of statistical invariance to obtain the optimum TR receiver on a decision-theoretic basis, and it is shown that the autocorrelation receiver is optimal only in a special case. Performance of the optimum receiver and the suboptimum AcR for some important modulation schemes is also evaluated. The results imply that allocating a part of the transmitted energy and bandwidth to reference pulses would not help improve the performance of the system and the optimal performance might be achieved via much simpler... 

    Code- division multiple- access techniques in optical fiber networks, part III: optical and gate receiver structure using generalized optical orthogonal codes

    , Article IEEE Transactions on Communication ; 2006, Vol.54, No.8, PP. 1457-1468 Mashhadi, S ; Salehi, J. A ; Sharif University Of Technology
    Abstract
    In this paper, we present a deep insight into the behavior of optical code-division multiple-access (OCDMA) systems based on an incoherent, intensity encoding/decoding technique using a well-known class of codes, namely, optical orthogonal codes (OOCs). As opposed to parts I and II of this paper, where OOCs with cross-correlation lambda=1 were considered, we consider generalized OOCs with 1leslambdalesw, where w is the weight of the corresponding codes. To enhance the performance of such systems, we propose the use of an optical and logic gate receiver, which, in an ideal case, e.g., in the absence of any noise source, except the optical multiple-access interference, is optimum. Using some... 

    Functional process capability analysis in mechanical systems

    , Article International Journal of Advanced Manufacturing Technology ; Vol. 73, issue. 5-8 , July , 2014 , p. 899-912 ; 02683768 Khodaygan, S ; Movahhedy, M. R ; Sharif University of Technology
    Abstract
    Functional quality in the mechanical products is governed mainly by the degree of satisfaction of the design requirements, which itself depends on the variations in the effective variables. The functional parameters cannot be easily measured in mass production, and thus, are not usually considered as a direct inspection objective. Process capability indices are useful tools for evaluating the ability of a process to produce the dependent variables of a product that meet certain specifications. In this paper, the conventional process capability concept is extended to develop a computational tool for analysis of the functional quality of a mechanical product. Through defining new proper... 

    1H NMR based metabolic profiling in Crohn's disease by random forest methodology

    , Article Magnetic Resonance in Chemistry ; Vol. 52, issue. 7 , July , 2014 , p. 370-376 Fathi, F ; Majari-Kasmaee, L ; Mani-Varnosfaderani, A ; Kyani, A ; Rostami-Nejad, M ; Sohrabzadeh, K ; Naderi, N ; Zali, M. R ; Rezaei-Tavirani, M ; Tafazzoli, M ; Arefi-Oskouie, A ; Sharif University of Technology
    Abstract
    The present study was designed to search for metabolic biomarkers and their correlation with serum zinc in Crohn's disease patients. Crohn's disease (CD) is a form of inflammatory bowel disease that may affect any part of the gastrointestinal tract and can be difficult to diagnose using the clinical tests. Thus, introduction of a novel diagnostic method would be a major step towards CD treatment.Proton nuclear magnetic resonance spectroscopy ( 1H NMR) was employed for metabolic profiling to find out which metabolites in the serum have meaningful significance in the diagnosis of CD. CD and healthy subjects were correctly classified using random forest methodology. The classification model for... 

    Optimization of culture medium and modeling of curdlan production from Paenibacillus polymyxa by RSM and ANN

    , Article International Journal of Biological Macromolecules ; Vol. 70, issue , Jul , 2014 , p. 463-473 Rafigh, S. M ; Yazdi, A. V ; Vossoughi, M ; Safekordi, A. A ; Ardjmand, M ; Sharif University of Technology
    Abstract
    Paenibacillus polymyxa ATCC 21830 was used for the production of curdlan gum for first time. A Box-Behnken experimental design was applied to optimize six variables of batch fermentation culture each at three levels. Statistical analyses were employed to investigate the direct and interactive effects of variables on curdlan production. Optimum cultural conditions were temperature (50. °C), pH (7), fermentation time (96. h), glucose (100. g/L), yeast extract (3. g/L) and agitation speed (150. rpm). The yield of curdlan production was 6.89. g/L at optimum condition medium. Response surface methodology (RSM) and artificial neural network (ANN) were used to model cultural conditions of curdlan... 

    Biodegradation of cyanide by a new isolated strain under alkaline conditions and optimization by response surface methodology (RSM)

    , Article Journal of Environmental Health Science and Engineering ; Vol. 12, issue. 1 , 2014 Mirizadeh, S ; Yaghmaei, S ; Nejad, Z. G ; Sharif University of Technology
    Abstract
    Background: Biodegradation of free cyanide from industrial wastewaters has been proven as a viable and robust method for treatment of wastewaters containing cyanide. Results: Cyanide degrading bacteria were isolated from a wastewater treatment plant for coke-oven-gas condensate by enrichment culture technique. Five strains were able to use cyanide as the sole nitrogen source under alkaline conditions and among them; one strain (C2) was selected for further studies on the basis of the higher efficiency of cyanide degradation. The bacterium was able to tolerate free cyanide at concentrations of up to 500 ppm which makes it a good potentially candidate for the biological treatment of cyanide... 

    Robust fault location of transmission lines by synchronised and unsynchronised wide-area current measurements

    , Article IET Generation, Transmission and Distribution ; Volume 8, Issue 9 , 1 September , 2014 , Pages 1561-1571 ; ISSN: 17518687 Salehi-Dobakhshari, A ; Ranjbar, A. M ; Sharif University of Technology
    Abstract
    This study presents a novel method for fault location of transmission lines by multiple fault current measurements. In contrast to conventional methods, it is proposed to utilise several current measurements, which may be far from the faulted line. The circuit equations of the network are used to express each fault current as a function of fault location. Fault location is then estimated using a least-squares estimation technique. To achieve a robust estimation of fault location, statistical hypotheses-testing is employed for identifying erroneous measurements. The method is applicable to both synchronised and unsynchronised measurements. Moreover, fault location can be estimated regardless... 

    Static statistical MPSoC power optimization by variation-aware task and communication scheduling

    , Article Microprocessors and Microsystems ; Volume 37, Issue 8 PART B , 2013 , Pages 953-963 ; 01419331 (ISSN) Momtazpour, M ; Goudarzi, M ; Sanaei, E ; Sharif University of Technology
    2013
    Abstract
    Corner-case analysis is a well-known technique to cope with occasional deviations occurring during the manufacturing process of semiconductors. However, the increasing amount of process variation in nanometer technologies has made it inevitable to move toward statistical analysis methods, instead of deterministic worst-case-based techniques, at all design levels. We show that by statically considering statistical effects of random and systematic process variation on performance and power consumption of a Multiprocessor System-on-Chip (MPSoC), significant power improvement can be achieved by static software-level optimizations such as task and communication scheduling. Moreover, we analyze... 

    Validation of the revised stressful life event questionnaire using a hybrid model of genetic algorithm and artificial neural networks

    , Article Computational and Mathematical Methods in Medicine ; Volume 2013 , 2013 ; 1748670X (ISSN) Sali, R ; Roohafza, H ; Sadeghi, M ; Andalib, E ; Shavandi, H ; Sarrafzadegan, N ; Sharif University of Technology
    2013
    Abstract
    Objectives. Stressors have a serious role in precipitating mental and somatic disorders and are an interesting subject for many clinical and community-based studies. Hence, the proper and accurate measurement of them is very important. We revised the stressful life event (SLE) questionnaire by adding weights to the events in order to measure and determine a cut point. Methods. A total of 4569 adults aged between 18 and 85 years completed the SLE questionnaire and the general health questionnaire-12 (GHQ-12). A hybrid model of genetic algorithm (GA) and artificial neural networks (ANNs) was applied to extract the relation between the stressful life events (evaluated by a 6-point Likert scale)...