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A Low-Cost highly reliable spintronic true random number generator circuit for secure cryptography
, Article SPIN ; Volume 10, Issue 1 , 2020 ; Amirany, A ; Rajaei, R ; Tabandeh, M ; Shouraki, S. B ; Sharif University of Technology
World Scientific Publishing Co. Pte Ltd
2020
Abstract
Generation of random numbers is one of the most important steps in cryptographic algorithms. High endurance, high performance and low energy consumption are the attractive features offered by the Magnetic Tunnel Junction (MTJ) devices. Therefore, they have been considered as one of the promising candidates for next-generation digital integrated circuits. In this paper, a new circuit design for true random number generation using MTJs is proposed. Our proposed circuit offers a high speed, low power and a truly random number generation. In our design, we employed two MTJs that are configured in special states. Generated random bit at the output of the proposed circuit is returned to the write...
A High Performance MRAM Cell Through Single Free-Layer Dual Fixed-Layer Magnetic Tunnel Junction
, Article IEEE Transactions on Magnetics ; Volume 58, Issue 12 , 2022 ; 00189464 (ISSN) ; Tabandeh, M ; Shouraki, S. B ; Patooghy, A ; Rajaei, R ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2022
Abstract
As technology size scales down, magnetic tunnel junctions (MTJs) as a promising technology are becoming more and more sensitive to process variation, especially in oxide barrier thickness. Process variation particularly affects the cell resistance and the critical switching current for the smaller dimensions. This article proposes an MTJ cell with one free and two pinned layers, which highly improves the process variation robustness. By employing the spin transfer torque (STT)-spin-Hall effect (SHE) switching method, our proposed MTJ cell improves the switching speed and lowers the switching power consumption. Per simulations, an MRAM cell built with the proposed MTJ cell offers up to 36%...
Device Modeling and Design of Bio-Inspired Computing Circuits Based on Spintronics
, Ph.D. Dissertation Sharif University of Technology ; Tabandeh, Mahmoud (Supervisor) ; Bagheri Shouraki, Saeed (Co-Supervisor) ; Rajaei, Ramin (Co-Supervisor)
Abstract
Artificial intelligence, as the most important topic of the current decade include various aspects such as artificial neural networks, pattern recognition, machine learning, audio and image processing, and random number generation. To implement hardware hosting artificial intelligence algorithms, a system must be designed with very high processing power, utilizing parallelism and consuming low energy. The best example of such a system is the human brain. For this reason, different structures of bio-inspired or neuromorphic computational systems have been designed taking inspiration from the human brain and are called bio-inspired or neuromorphic computation systems. The limitations of CMOS...
Proton Path Tracking in Proton Computed Tomography using Machine Learning
, M.Sc. Thesis Sharif University of Technology ; Vosoughi, Naser (Supervisor) ; Riazi Mobaraki, Zafar (Supervisor) ; Alibeigi, Ehsan (Co-Supervisor)
Abstract
One of the main problems in proton computed tomography is the reduction of the spatial resolution of the image due to multiple Coulomb scattering of protons while passing through the material. Estimating the most likely path of protons inside the material can be beneficial to solve this problem. In this regard, artificial neural networks, as one of the innovative solutions in the field of machine learning, have helped to improve the accuracy of estimating the most likely path of protons. In this study, an artificial neural network with an adaptive moment estimation optimization algorithm was designed to estimate the most likely path of protons. The network was trained using data obtained...
Conformal invariance and quantum aspects of matter
, Article International Journal of Modern Physics A ; Volume 15, Issue 7 , 2000 , Pages 983-988 ; 0217751X (ISSN) ; Salehi, I. I ; Golshani, M ; Sharif University of Technology
2000
Abstract
The vacuum sector of the Brans-Dicke theory is studied from the viewpoint of a non-conformally invariant gravitational model. We show that, this theory can be conformally symmetrized using an appropriate conformal transformation. The resulting theory allows a particle interpretation, and suggests that the quantum aspects of matter may be geometrized
The study on resolution factors of LPBF technology for manufacturing superelastic NiTi endodontic files
, Article Materials ; Volume 15, Issue 19 , 2022 ; 19961944 (ISSN) ; Pelevin, I. A ; Karimi, F ; Shishkovsky, I. V ; Sharif University of Technology
MDPI
2022
Abstract
Laser Powder Bed Fusion (LPBF) technology is a new trend in manufacturing complex geometric structures from metals. This technology allows producing topologically optimized parts for aerospace, medical and industrial sectors where a high performance-to-weight ratio is required. Commonly the feature size for such applications is higher than 300–400 microns. However, for several possible applications of LPBF technology, for example, microfluidic devices, stents for coronary vessels, porous filters, dentistry, etc., a significant increase in the resolution is required. This work is aimed to study the resolution factors of LPBF technology for the manufacturing of superelastic instruments for...
Emergent de Sitter cosmology near black hole horizon
, Article Journal of High Energy Physics ; Volume 2022, Issue 11 , 2022 ; 10298479 (ISSN) ; Sharif University of Technology
Springer Science and Business Media Deutschland GmbH
2022
Abstract
We propose an effective model for an exponentially expanding universe in the brane-world scenario. The setup consists of a 5D black hole and a brane close to the black hole horizon. In case the brane acquires a specific configuration, which we deduce from stability arguments, the induced metric outside the black hole horizon on the brane becomes de Sitter in static coordinates. Studying the Einstein equations perturbatively we find the effective gravity on the brane at this level and derive the 4D gravitational constant. Considering a homogeneous and isotropic fluid in the corresponding FLRW coordinates we find that the bulk fluid density inside the brane, which has the same equation of...
Numerical and theoretical study of performance and mechanical behavior of pem-fc using innovative channel geometrical configurations
, Article Applied Sciences (Switzerland) ; Volume 11, Issue 12 , 2021 ; 20763417 (ISSN) ; Alshukri, M. J ; Alsabery, A. I ; Hashim, I ; Sharif University of Technology
MDPI
2021
Abstract
Proton exchange membrane fuel cell (PEM-FC) aggregation pressure causes extensive strains in cell segments. The compression of each segment takes place through the cell modeling method. In addition, a very heterogeneous compressive load is produced because of the recurrent channel rib design of the dipole plates, so that while high strains are provided below the rib, the domain continues in its initial uncompressed case under the ducts approximate to it. This leads to significant spatial variations in thermal and electrical connections and contact resistances (both in rib–GDL and membrane–GDL interfaces). Variations in heat, charge, and mass transfer rates within the GDL can affect the...
Numerical and theoretical study of performance and mechanical behavior of pem-fc using innovative channel geometrical configurations
, Article Applied Sciences (Switzerland) ; Volume 11, Issue 12 , 2021 ; 20763417 (ISSN) ; Alshukri, M. J ; Alsabery, A. I ; Hashim, I ; Sharif University of Technology
MDPI
2021
Abstract
Proton exchange membrane fuel cell (PEM-FC) aggregation pressure causes extensive strains in cell segments. The compression of each segment takes place through the cell modeling method. In addition, a very heterogeneous compressive load is produced because of the recurrent channel rib design of the dipole plates, so that while high strains are provided below the rib, the domain continues in its initial uncompressed case under the ducts approximate to it. This leads to significant spatial variations in thermal and electrical connections and contact resistances (both in rib–GDL and membrane–GDL interfaces). Variations in heat, charge, and mass transfer rates within the GDL can affect the...
Predicting communication quality in construction projects: A fully-connected deep neural network approach
, Article Automation in Construction ; Volume 139 , 2022 ; 09265805 (ISSN) ; Hosseini, M. R ; Martek, I ; Taroun, A ; Alvanchi, A ; Odeh, I ; Sharif University of Technology
Elsevier B.V
2022
Abstract
Establishing high-quality communication in construction projects is essential to securing successful collaboration and maintaining understanding among project stakeholders. Indeed, poor communication results in low productivity, poor efficiency, and substandard deliverables. While high-quality communication is recognized as contingent on the interpersonal skills of workers, the impacts of communication quality on job performance remain unknown. This study addresses this deficiency by developing a method to evaluate construction workers' communication quality. A literature review is undertaken to capture salient interpersonal skills. Leadership style, listening, team building, and clarifying...
A robust multilevel segment description for multi-class object recognition
, Article Machine Vision and Applications ; Vol. 26, issue. 1 , 2014 , pp. 15-30 ; ISSN: 0932-8092 ; Gholampour, I ; Sharif University of Technology
2014
Abstract
We present an attempt to improve the performance of multi-class image segmentation systems based on a multilevel description of segments. The multi-class image segmentation system used in this paper marks the segments in an image, describes the segments via multilevel feature vectors and passes the vectors to a multi-class object classifier. The focus of this paper is on the segment description section. We first propose a robust, scale-invariant texture feature set, named directional differences (DDs). This feature is designed by investigating the flaws of conventional texture features. The advantages of DDs are justified both analytically and experimentally. We have conducted several...
Reduced memory requirement in hardware implementation of SVM classifiers
, Article ICEE 2012 - 20th Iranian Conference on Electrical Engineering, 15 May 2012 through 17 May 2012 ; May , 2012 , Pages 46-50 ; 9781467311489 (ISBN) ; Gholampour, I ; Sharif University of Technology
2012
Abstract
Support Vector Machine (SVM) is a powerful machine-learning tool for pattern recognition, decision making and classification. SVM classifiers outperform other classification technologies in many applications. In this paper, two implementations of SVM classifiers are presented using Logarithmic Number System. In the basic classifier all operations (multiplication, addition and ...) are performed using logarithmic numbers. In the logarithmic domain, multiplication and division can be simply treated as addition or subtraction respectively. The main disadvantage of LNS is the large memory requirement for high precision addition and subtraction. In the improved classifier, multiplication...
Optimization of supercritical carbon dioxide extraction of essential oil from spearmint (Mentha spicata L.) leaves by using Taguchi methodology
, Article Journal of Supercritical Fluids ; Volume 67 , July , 2012 , Pages 123-130 ; 08968446 (ISSN) ; Goodarznia, I ; Sharif University of Technology
2012
Abstract
In this study, the essential oil of aerial parts species of a plant called Spearmint was extracted by CO 2 to optimize the results of the supercritical extraction process. In order to achieve maximum total yield extraction and SF-CO 2 concentration, tests were done in a laboratorial pilot considering the Taguchi method under following condition: pressure. 90,100,140,170 bar, temperature. of 35, 40, 45, 50 °C, mean particles size: 250,500,710,1000 μm, flow rate 1,3,5,8 ml/s and dynamic time 30,50,90,120 min. The optimizing conditions for SCE and SF-CO 2 concentration are: 90 bar, 45 °C, 500 μm, 5 ml/s, 120 min and 90 bar, 35 °C, 250 μm, 1 ml/s, 30 min. SCE total yield and CO 2 concentration...
A framework based on the Affine Invariant Regions for improving unsupervised image segmentation
, Article 2012 11th International Conference on Information Science, Signal Processing and their Applications, ISSPA 2012 ; 2012 , Pages 17-22 ; 9781467303828 (ISBN) ; Gholampour, I ; Sharif University of Technology
2012
Abstract
Processing time and segmentation quality are two main factors in evaluation of image segmentation methods. Oversegmentation is one of the most challenging problems that significantly degrade the segmentation quality. This paper presents a framework for decreasing the oversegmentation rate and improving the processing time. Significant variations in both color and texture spaces are the main reasons that lead to oversegmentation. We exploit Affine Invariant Region Detectors to mark regions with high variations in both color and texture spaces. The results are then utilized to reduce the oversegmentation rate of image segmentation algorithms. The performance of the proposed framework is...
Geometry, supertransfer, and optimality in the light harvesting of purple bacteria
, Article Journal of Physical Chemistry Letters ; Volume 7, Issue 19 , 2016 , Pages 3804-3811 ; 19487185 (ISSN) ; Kassal, I ; Sharif University of Technology
American Chemical Society
2016
Abstract
The remarkable rotational symmetry of the photosynthetic antenna complexes of purple bacteria has long been thought to enhance their light harvesting and excitation energy transport. We study the role of symmetry by modeling hypothetical antennas whose symmetry is broken by altering the orientations of the bacteriochlorophyll pigments. We find that in both LH2 and LH1 complexes, symmetry increases energy transfer rates by enabling the cooperative, coherent process of supertransfer. The enhancement is particularly pronounced in the LH1 complex, whose natural geometry outperforms the average randomized geometry by 5.5 standard deviations, the most significant coherence-related enhancement...
Low-cholesterol milk production using cholesterol oxidase from Nocardia erythropolis
, Article Australian Journal of Dairy Technology ; Volume 65, Issue 1 , 2010 , Pages 10-14 ; 00049433 (ISSN) ; Alemzadeh, I ; Sharif University of Technology
2010
Abstract
An effective process for reducing milk cholesterol by enzymatic treatment was investigated in this study. Cholesterol oxidase from Nocardia erythropolis was used for this purpose. The target of this investigation was to obtain the optimum operational conditions for bioconversion of milk cholesterol by cholesterol oxidase (COD). The bioconversion process was investigated first, to obtain basic information about the process, and was further optimised by analysing the parameters, including temperature, pH, incubation time and enzyme content, by using the Taguchi Approach, which is a statistical method for optimisation. Also the direct effect of each parameter on cholesterol bioconversion rate...
Distinguishing the roles of energy funnelling and delocalization in photosynthetic light harvesting
, Article Physical Chemistry Chemical Physics ; Volume 18, Issue 10 , 2016 , Pages 7459-7467 ; 14639076 (ISSN) ; Kassal, I ; Sharif University of Technology
Royal Society of Chemistry
2016
Abstract
Photosynthetic complexes improve the transfer of excitation energy from peripheral antennas to reaction centers in several ways. In particular, a downward energy funnel can direct excitons in the right direction, while coherent excitonic delocalization can enhance transfer rates through the cooperative phenomenon of supertransfer. However, isolating the role of purely coherent effects is difficult because any change to the delocalization also changes the energy landscape. Here, we show that the relative importance of the two processes can be determined by comparing the natural light-harvesting apparatus with counterfactual models in which the delocalization and the energy landscape are...
Enzymatic synthesis of theanine in the presence of L-glutaminase produced by Trichoderma koningii
, Article Applied Food Biotechnology ; Volume 4, Issue 2 , 2017 , Pages 113-121 ; 23455357 (ISSN) ; Alemzadeh, I ; Sharif University of Technology
National Nutrition and Food Technology Research Institute
2017
Abstract
Background and Objective: Since ancient times, it has been said that drinking green tea brings relaxation. The substance that is responsible for a sense of relaxation is theanine. Theanine (γ-glutamylethylamide) is a unique non-protein amino acid. It gives an umami taste and a unique flavor to the tea, and has many physiological and pharmaceutical effects such as anti-tumor, anti-cancer, neuro-protective, anti-hypertensive and anti-obesity effects; it may further help in relaxation and increase focus. So this compound is essential for human body; however, it is not synthesized in the body and should be administrated orally. In the present study, the enzymatic biosynthesis of theanine was...
Accurate detection and recognition of dirty vehicle plate numbers for high-speed applications
, Article IEEE Transactions on Intelligent Transportation Systems ; Volume 18, Issue 4 , 2017 , Pages 767-779 ; 15249050 (ISSN) ; Gholampour, I ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2017
Abstract
This paper presents an online highly accurate system for automatic number plate recognition (ANPR) that can be used as a basis for many real-world ITS applications. The system is designed to deal with unclear vehicle plates, variations in weather and lighting conditions, different traffic situations, and high-speed vehicles. This paper addresses various issues by presenting proper hardware platforms along with real-Time, robust, and innovative algorithms. We have collected huge and highly inclusive data sets of Persian license plates for evaluations, comparisons, and improvement of various involved algorithms. The data sets include images that were captured from crossroads, streets, and...
Suppressed acrylamide formation during baking in yeast-leavened bread based on added asparaginase, baking time and temperature using response surface methodology
, Article Applied Food Biotechnology ; Volume 5, Issue 1 , 2018 , Pages 29-36 ; 23455357 (ISSN) ; Alemzadeh, I ; Sharif University of Technology
National Nutrition and Food Technology Research Institute
2018
Abstract
Background and Objective: Acrylamide as a toxic substance for human beings is produced by Maillard reaction at high temperatures. In this research, this reaction can be inhibited based on using aspariganse enzyme, controlling the cooking time and temperature during baking in yeast-leavened bread. Materials and Methods: In this study, a response surface methodology 5-level-3-factor central composite design was applied to study the effects of asparaginase (300-900 U Kg-1 of flour), baking temperature (230-280°C) and baking time (13-16 min) on acrylamide formation in yeast-leavened wheat bread. Results and Conclusion: Added asparaginase showed a reducing effect on acrylamide formation...