Loading...
Search for:
ameri-mahabadi--a
1.445 seconds
Total 14699 records
A combinational adaptive noise canceller using filter bank
, Article 6th International Symposium on Image and Signal Processing and Analysis, ISPA 2009, Salzburg, 16 September 2009 through 18 September 2009 ; 2009 , Pages 71-74 ; 9789531841351 (ISBN) ; Hejazi, A ; Akhaee, M. A ; Eshghi, M ; Sharif University of Technology
2009
Abstract
This paper proposes a novel combinational Adaptive Noise Canceller (ANC), which is suitable for non stationary noise environments. Pre-filter bank structure improves the convergence rate leading to less error in real-time applications. During our investigations, we have found out adaptive algorithms have better performance for low frequency subbands. Thus, by using Singular Value Decomposition (SVD) in each subband, a simplified version of variable step-size algorithms has been employed in low frequency subbands; while for high frequency subbands, some conventional techniques have been used. Simulation results show that combination of adaptive and conventional methods have better performance...
Comparative analysis of hydrate formation pressure applying cubic equations of state (eos), artificial neural network (ann) and adaptive neuro-fuzzy inference system (anfis)
, Article International Journal of Thermodynamics ; Volume 15, Issue 2 , 2012 , Pages 91-101 ; 13019724 (ISSN) ; Saber, M ; Ameri, A ; Sharif University of Technology
2012
Abstract
The objective of this work is making comparison between thermodynamic models and data-driven techniques accuracy in prediction of hydrate formation pressure as a function of temperature and composition of gas mixtures. The Peng-Robinson (PR) and Patel-Teja (PT) equations of state are used for thermodynamic modeling and Artificial Neural Networks (ANNs) and Adaptive Neuro-Fuzzy Inference System (ANFIS) are used as data-driven models. The capability of each method is evaluated by comparison with the experimental data collected from literature. It is shown that there is a good agreement between thermodynamic modeling and the experimental data in most of the cases; however, the prediction...
Common Areas of Language Impairment in Persian-speaking Autistic Children
, M.Sc. Thesis Sharif University of Technology ; Khosravizadeh, Parvaneh (Supervisor)
Abstract
In qualitative content analysis research with the aim of identifying areas of language impairmenthigh-functioning Persian-speaking autistic children, ten subjects were observed during fifteen training sessions which were the cognitive block of a three-block training program. Each session lasted 90 minutes and was video recorded. Prior to this, focus group interviews with specialists and semi-structured interviews with mothers and parallel to that focus group interviews with mothers were handled all of which were audio recorded. After two levels of initial and second coding, a final list of areas of impairment in the language of high-functioning Persian-speaking autistic children, that...
Investigating the Behaviour of Some Kind of Fibre-reinforced Concrete
, M.Sc. Thesis Sharif University of Technology ; Khonsari, Vahid (Supervisor)
Abstract
While there are many advantages associated with concrete, including high compressive strength, durability and so forth, on the contrary, it has several disadvantages which may make engineers somewhat reluctant to use it. These include low tensile strength, high brittleness, low resistance to impact, large dimensions of structural cross sections, etc. In recent years, there have been many attempts to surmount these disadvantages by various means such as adding pozzolans, using FRPs, fibres, etc. In this project, the effects of using a special type of high strength steel fibre is studied. In order to investigate the effect of this fibre on the compressive behavior of concrete, 30 cylindrical...
Improving Robustness of Deep Neural Networks Against Adversarial Examples in Image
, M.Sc. Thesis Sharif University of Technology ; Kasaei, Shohreh (Supervisor)
Abstract
Despite widespread applications and high performance of deep neural networks in the fields of computer vision, they have been shown to be vulnerable to adversarial examples. An adversarial example is a perturbated image that the magnitude of its difference with its corresponding natural image is small and yet given such example, the network produces incorrect output. In recent years, many approaches have been proposed to increase the robustness of DNNs against adversarial examples with adversarial training being proposed as the most effective defense measure. Approaches based on adversarial training try to increase the robustness of the network by training on the adversarial examples. One of...
Geopolymers vs. alkali-activated materials (AAMs): A comparative study on durability, microstructure, and resistance to elevated temperatures of lightweight mortars
, Article Construction and Building Materials ; Volume 222 , 2019 , Pages 49-63 ; 09500618 (ISSN) ; Shoaei, P ; Zareei, S. A ; Behforouz, B ; Sharif University of Technology
Elsevier Ltd
2019
Abstract
This paper studied the durability, microstructure, and fire behavior of lightweight mortars based on cement, metakaolin (MK), ultrafine ground granulated blast furnace slag (UGGBFS), ceramic waste powder (CWP), and clay brick waste powder (CBWP). Two sets of mixes were prepared with two types of lightweight aggregate including lightweight expanded clay aggregate (LECA) and pumice aggregate. Regarding the durability assessment, the electrical resistivity and water absorption of the mortars were measured. The UGGBFS-based alkali-activated mortar with pumice aggregate exhibited the highest electrical resistivity and lowest water absorption, while CBWP-based geopolymer mortar with LECA showed...
Corrigendum: “geopolymers vs. alkali-activated materials (AAMs): a comparative study on durability, microstructure, and resistance to elevated temperatures of lightweight mortars” (JCBM 222 (2019) (49–63), (S0950061819315089), (10.1016/j.conbuildmat.2019.06.079))
, Article Construction and Building Materials ; Volume 283 , 2021 ; 09500618 (ISSN) ; Shoaei, P ; Zareei, A. R ; Behforouz, B ; Sharif University of Technology
Elsevier Ltd
2021
Abstract
The authors regret that there was an error in the XRD pattern for pumice shown in Fig. 8. The authors have re-analyzed the pumice to address the concerns over the reliability of the pattern due to the presence of noises, and the updated XRD pattern has been shown in Fig. 8 here for more accuracy of the presented information. It is noteworthy that this change does not affect any of the conclusions. The authors would like to apologise for any inconvenience caused. © 2021 Elsevier Ltd
Corrigendum to “Geopolymers vs alkali-activated materials (AAMs): A comparative study on durability, microstructure, and resistance to elevated temperatures of lightweight mortars” [Constr. Build. Mater. 222 (2019) 9–63] (Construction and Building Materials (2019) 222 (49–63), (S0950061819315089), (10.1016/j.conbuildmat.2019.06.079))
, Article Construction and Building Materials ; Volume 350 , 2022 ; 09500618 (ISSN) ; Shoaei, P ; Zareei, S. A ; Behforouz, B ; Sharif University of Technology
Elsevier Ltd
2022
Abstract
The authors regret that there was an error in the caption of Fig. 15. The corrected caption for Fig. 15 as presented here. It is noteworthy that this change does not affect any of the conclusions. Fig. 15. SEM micrograph of geopolymer mortar with clay brick waste: (a) with LECA and magnification of 60×, (b) with pumice aggregates and magnification of 2000×, (c) with pumice aggregates and magnification of 500×, (d) with pumice aggregates and magnification of 1000×. The authors would like to apologize for any inconvenience caused. © 2022 Elsevier Ltd
Influencers of Consumer Evaluations of Brand Extension vs. New Brand: Case of Iran’s FMCG Market
, M.Sc. Thesis Sharif University of Technology ; Najmi, Manouchehr (Supervisor)
Abstract
In today's competitive market we are witnessing the continouse production of new products. This forces companies to choose their branding strategies very carefully، since a wrong decision and a failure can lead to unfortunate consequences. So، Investegiating the factors that can affect new product branding strategies have become very important. Among these strategies, brand extention strategy has been more popular since it can increase the success probability of a new product. As a result، in this research we have investigated the influencers of evaluation of two branding strategies: brand extension and new brand. More specifically، this research aims to investigate the relation between...
Author Identification Using Statistical Methods
, M.Sc. Thesis Sharif University of Technology ; Beigy, Hamid (Supervisor)
Abstract
With the increasing use of the Internet, we are witnessing the exchange of gigabytes of text in cyberspace. Cyberspace makes it possible for individuals to hide their true identity and enter this space with an spurious one. Abuses that occur in online communities due to the use of unknown identities, reduce confidence in this type of communication and create many challenges in this area. Hence the importance of maintaining the security of the space, controling the user-generated content and identifying the authors of texts increases day by day. In this Research we have presented an approach to author identification. This approach is based on modeling the style of the authors on the basis of...
Semi-reversible quantization based data hiding using missing samples recovery technique
, Article 16th International Conference on Telecommunications, ICT 2009, 25 May 2009 through 27 May 2009 ; 2009 , Pages 298-302 ; 9781424429370 (ISBN) ; Saberian, M. J ; Akhaee, M. A ; Marvasti, F ; Sharif University of Technology
2009
Abstract
A blind semi-invertible quantization based data hiding scheme, which reconstructs the original signal with high precision has been proposed. In order to produce correlated quantization yielding reversibility of the quantization based approach, a new transform domain has been introduced. In decoder, by compensating the quantization error and using the iterative technique, the original signal is recovered; then the watermarked signal is compared with the reconstructed original signal and hidden data is retrieved. Simulation results show that the proposed method in comparison with other reversible methods imposes less distortion and thus a higher Signal to Noise Ratio (SNR) is achieved. © 2009...
Ambient-cured alkali-activated slag paste incorporating micro-silica as repair material: Effects of alkali activator solution on physical and mechanical properties
, Article Construction and Building Materials ; Volume 229 , 2019 ; 09500618 (ISSN) ; Zareei, A. R ; Shoaei, P ; Ameri, F ; Sharif University of Technology
Elsevier Ltd
2019
Abstract
In this paper, the optimum alkali activator solution properties in alkali-activated pastes based on ground granulated blast furnace slag (GGBFS) and micro-silica (MS) were investigated. For this purpose, sodium hydroxide (NH) solutions with molarities of 8 M, 12 M, and 16 M were prepared and mixed with sodium silicate (NS) solutions at NS:NH ratios of 1.0, 2.5, and 4.0 to produce the final activator solution. Two sets of pastes were manufactured: (1) pastes based on GGBFS, and (2) pastes in which 10% by weight of GGBFS was replaced with MS. The fresh density increased with increasing NH molarity and NS:NH ratio; whereas, the final setting time reduced with an increase in the aforementioned...
Parallel Lagrange interpolation on k-ary n-cubes with maximum channel utilization
, Article Journal of Supercomputing ; Volume 46, Issue 1 , 2008 , Pages 1-14 ; 09208542 (ISSN) ; Sarbazi Azad, H ; Khodaie, E ; Navi, K ; Sharif University of Technology
2008
Abstract
This paper proposes an efficient parallel algorithm for computing Lagrange interpolation on k-ary n-cube networks. This is done using the fact that a k-ary n-cube can be decomposed into n link-disjoint Hamiltonian cycles. Using these n link-disjoint cycles, we interpolate Lagrange polynomial using full bandwidth of the employed network. Communication in the main phase of the algorithm is based on an all-to-all broadcast algorithm on the n link-disjoint Hamiltonian cycles exploiting all network channels, and thus, resulting in high-efficiency in using network resources. A performance evaluation of the proposed algorithm reveals an optimum speedup for a typical range of system parameters used...
Multifunctional hyperelastic structured surface for tunable and switchable transparency
, Article Applied Sciences (Switzerland) ; Volume 11, Issue 5 , 2021 , Pages 1-11 ; 20763417 (ISSN) ; Goudarzi, T ; Fleury, R ; Naghdabadi, R ; Sharif University of Technology
MDPI AG
2021
Abstract
We leverage the crucial hyperelastic properties of a multifunctional structured surface to optimize the reconfigurability of the electromagnetic transmission under large nonlinear mechanical deformations. This multiphysics, multifunctional, hyperelastic structured surface (HSS) offers two simultaneous intriguing functionalities; tunability and switchability. It is made of copper reso-nators and a Polydimethylsiloxane (PDMS) substrate, which is one of the most favorable deformable substrates due to its hyperelastic behavior. The proposed HSS is fabricated via an original cost-effective technique and the multiphysics functionalities are captured in both experimental tests and numerical...
A 6-bit digital phase shifter by using HEMT technology
, Article Proceedings - 2012 IEEE 8th International Colloquium on Signal Processing and Its Applications, CSPA 2012 ; 2012 , Pages 29-32 ; 9781467309615 (ISBN) ; Sabaghi, M ; Pourhossien, A ; Kouchaki, M ; Rahnama, M ; Sharif University of Technology
2012
Abstract
A 6-bit passive phase shifter for S frequency band has been designed in a standard HEMT technology. A new switched-network topology has been proposed for implementing the 5.625 phase shift step which these digital bits are series with each other. We used Advanced Design System (ADS2010) to perform simulations. These digital bits will produce 64 different mode phase shift of -177.15 to +177.15 degree. In all cases simulation obtained less than 1 % error
Down-conversion self-oscillating mixer by using CMOS technology
, Article Proceedings - 2012 IEEE 8th International Colloquium on Signal Processing and Its Applications, CSPA 2012 ; 2012 , Pages 33-36 ; 9781467309615 (ISBN) ; Zahedi, A ; Sabaghi, M ; Ameri, S. R. H ; Niyakan, M ; Sharif University of Technology
2012
Abstract
In this paper a self-oscillating mixer is presented fundamental signal generated by the oscillator subcircuit in the mixing process. The oscillator core consumes 3mA of current from a 1.8 V DC supply and results in an output power of -0.867 dBm per oscillator, and a measured phase noise of -91, -102 and -108 dBc/Hz at 100 KHz, 600 KHz and 1 MHz from the carrier, respectively. In the mixing process the proposed mixer achieved IIP3 of 0 dBm with conversation gain of 1.93 dB. The circuit was designed and simulated in 0.18-μm CMOS technology by ADS2010
Findings of DTI-p maps in comparison with T 2 /T 2 -FLAIR to assess postoperative hyper-signal abnormal regions in patients with glioblastoma 08 Information and Computing Sciences 0801 Artificial Intelligence and Image Processing
, Article Cancer Imaging ; Volume 18, Issue 1 , 2018 ; 14707330 (ISSN) ; Safari, M ; Ameri, A ; Shojaee Moghadam, M ; Arbabi, A ; Tabatabaeefar, M ; Salighehrad, H ; Sharif University of Technology
BioMed Central Ltd
2018
Abstract
Purpose: The aim of this study was to compare diffusion tensor imaging (DTI) isotropic map (p-map) with current radiographically (T 2/T 2 -FLAIR) methods based on abnormal hyper-signal size and location of glioblastoma tumor using a semi-automatic approach. Materials and methods: Twenty-five patients with biopsy-proved diagnosis of glioblastoma participated in this study. T 2, T 2 -FLAIR images and diffusion tensor imaging (DTI) were acquired 1 week before radiotherapy. Hyper-signal regions on T 2, T 2 -FLAIR and DTI p-map were segmented by means of semi-automated segmentation. Manual segmentation was used as ground truth. Dice Scores (DS) were calculated for validation of semiautomatic...
A No-Wait Flowshop Scheduling Problem with Sequence Dependent Setup Time
, M.Sc. Thesis Sharif University of Technology ; Salmasi, Nasser (Supervisor)
Abstract
In this research a no-wait flowshop sequence dependent setup time scheduling problem with weighted earliness-tardiness penalties as the criterion (F_m |nwt,S_ijk |∑▒〖w_j^' E_j+w_j^" T_j 〗) is investigated. It is assumed that n jobs are assigned to a flowshop with m machines. The jobs are not allowed to wait between two successive machines according to no-wait requirement. Moreover each machine needs a setup time before processing a new job. The value of this setup time is dependent on the previous processed job on that machine.
A mixed integer linear programming model is proposed to solve the problem. As the problem is shown to be strongly NP-hard, a particle swarm optimization (PSO)...
A mixed integer linear programming model is proposed to solve the problem. As the problem is shown to be strongly NP-hard, a particle swarm optimization (PSO)...
Hand Gesture Recognition using sEMG in Man-Machine Interfaces
, M.Sc. Thesis Sharif University of Technology ; Jahed, Mehran (Supervisor)
Abstract
Fast and accurate recognition of hand gestures remains a significant challenge in the field of human-machine interfaces (HMI). This challenge is particularly critical in applications such as rehabilitation exoskeletons, which demand high accuracy. Surface electromyography (sEMG) signals are effective tools for recognizing hand and wrist movements due to their non-invasive acquisition and direct correlation with muscle activity. However, achieving both high accuracy and speed under diverse conditions continues to be a persistent challenge. In this study, classical machine learning and deep learning models—including KNN, Naïve Bayes, Decision Tree, Random Forest, SVM, LDA, MLP, and CNN—were...
Effects of resonator geometry and substrate stiffness on the tunability of a deformable microwave metasurface
, Article AEU - International Journal of Electronics and Communications ; Volume 146 , 2022 ; 14348411 (ISSN) ; Goudarzi, T ; Fleury, R ; Sohrabpour, S ; Naghdabadi, R ; Sharif University of Technology
Elsevier GmbH
2022
Abstract
Tunable metasurfaces can shift their resonant frequency through different approaches, one of which is applying mechanical deformations. Here, we show the effects of two key factors on the tunability of deformable metasurfaces; the resonator geometry and substrate stiffness. To show the effects, we compared the tunability of unit cells with three resonator geometries and three common substrates at microwave frequencies from 1 GHz to 10 GHz under a given mechanical deformation. We showed that the resonator geometry affects the deformation field, as a consequence, causes different resonant frequency shifts. Moreover, it affects the stress field in the metasurface which in turn limits the...