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Voice conversion using nonlinear principal component analysis
, Article 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007, Honolulu, HI, 1 April 2007 through 5 April 2007 ; 2007 , Pages 336-339 ; 1424407079 (ISBN); 9781424407071 (ISBN) ; Seyed salehi, S. A ; Sadati, N ; Noori Hosseini, M ; Sharif University of Technology
2007
Abstract
In the last decades, much attention has been paid to the design of multi-speaker voice conversion. In this work, a new method for voice conversion (VC) using nonlinear principal component analysis (NLPCA) is presented. The principal components are extracted and transformed by a feed-forward neural network which is trained by combination of Genetic Algorithm (GA) and Back-Propagation (BP). Common pre- and post-processing approaches are applied to increase the quality of the synthesized speech. The results indicate that the proposed method can be considered as a step towards multi-speaker Voice conversion. © 2007 IEEE
Unaligned training for voice conversion based on a local nonlinear principal component analysis approach
, Article Neural Computing and Applications ; Volume 19, Issue 3 , 2010 , Pages 437-444 ; 09410643 (ISSN) ; Noori Hosseini, M ; Seyyedsalehi, S. A ; Sadati, N ; Sharif University of Technology
2010
Abstract
During the past years, various principal component analysis algorithms have been developed. In this paper, a new approach for local nonlinear principal component analysis is proposed which is applied to capture voice conversion (VC). A new structure of autoassociative neural network is designed which not only performs data partitioning but also extracts nonlinear principal components of the clusters. Performance of the proposed method is evaluated by means of two experiments that illustrate its efficiency; at first, performance of the network is described by means of an artificial dataset and then, the developed method is applied to perform VC
Tunable bandgap opening in the proposed structure of silicon-doped graphene
, Article Micro and Nano Letters ; Volume 6, Issue 8 , 2011 , Pages 582-585 ; 17500443 (ISSN) ; Kokabi, A ; Hosseini, M ; Fardmanesh, M ; Sharif University of Technology
2011
Abstract
A specific structure of doped graphene with substituted silicon impurity is introduced and ab initio density-functional approach is applied for the energy band structure calculation of the proposed structure. Using the band structure calculation for different silicon sites in the host graphene, the effect of silicon concentration and unit cell geometry on the bandgap of the proposed structure is also investigated. Chemically, silicon-doped graphene results in an energy gap as large as 2eV according to density-functional theory calculations. As the authors will show, in contrast to previous bandgap engineering methods, such structure has significant advantages including wide gap tuning...
Tunability of terahertz random lasers with temperature based on superconducting materials
, Article Journal of Applied Physics ; Volume 112, Issue 4 , 2012 ; 00218979 (ISSN) ; Bahrampour, A. R ; Mahdavi, S. M ; Hosseini, M ; Sharif University of Technology
2012
Abstract
We theoretically demonstrate the tunabiltiy of terahertz random lasers composed of high temperature superconductor YBCO and ruby layers as active medium. The considered system is a one-dimensional disordered medium made of ruby grain and YBCO. Finite-difference time domain method is used to calculate the emission spectrum and spatial distribution of electric field at different temperatures. Our numerical results reveal that the superconductor based random lasers exhibit large temperature tunability in the terahertz domain. The emission spectrum is significantly temperature dependent, the number of lasing modes and their intensities increase with decreasing temperature. Also, we make some...
Toward real-time image annotation using marginalized coupled dictionary learning
, Article Journal of Real-Time Image Processing ; Volume 19, Issue 3 , 2022 , Pages 623-638 ; 18618200 (ISSN) ; Hosseini, M. M ; Mohammadi Kashani, M ; Amiri, S. H ; Sharif University of Technology
Springer Science and Business Media Deutschland GmbH
2022
Abstract
In most image retrieval systems, images include various high-level semantics, called tags or annotations. Virtually all the state-of-the-art image annotation methods that handle imbalanced labeling are search-based techniques which are time-consuming. In this paper, a novel coupled dictionary learning approach is proposed to learn a limited number of visual prototypes and their corresponding semantics simultaneously. This approach leads to a real-time image annotation procedure. Another contribution of this paper is that utilizes a marginalized loss function instead of the squared loss function that is inappropriate for image annotation with imbalanced labels. We have employed a marginalized...
Torsional vibration of nano-cone based on nonlocal strain gradient elasticity theory
, Article European Physical Journal Plus ; Volume 132, Issue 9 , 2017 ; 21905444 (ISSN) ; Hadi, A ; Hosseini, M ; Haghshenas Gorgani, H ; Sharif University of Technology
Abstract
This paper investigates free torsional vibration behavior of a nonlinear nano-cone, based on the nonlocal strain gradient elasticity theory. The nano-cone is made of homogeneous and isotropic materials. Moreover, the cross-sectional area of the nano-cone varies in the longitudinal direction by a nonlinear function. Governing equation and boundary conditions are derived using Hamilton’s principle. These equations are solved by employing the generalized differential quadrature method (GDQM). The effects of some parameters, such as cross-sectional area change and small-scale parameter, are investigated. Results show that the cross-sectional area change has a significant effect on the torsional...
The influence of the female reproductive tract and sperm features on the design of microfluidic sperm-sorting devices
, Article Journal of Assisted Reproduction and Genetics ; Volume 39, Issue 1 , 2022 , Pages 19-36 ; 10580468 (ISSN) ; Hosseini, M ; Saadatmand, M ; Abbaspourrad, A ; Sharif University of Technology
Springer
2022
Abstract
Although medical advancements have successfully helped a lot of couples with their infertility by assisted reproductive technologies (ART), sperm selection, a crucial stage in ART, has remained challenging. Therefore, we aimed to investigate novel sperm separation methods, specifically microfluidic systems, as they do sperm selection based on sperm and/or the female reproductive tract (FRT) features without inflicting any damage to the selected sperm during the process. In this review, after an exhaustive studying of FRT features, which can implement by microfluidics devices, the focus was centered on sperm selection and investigation devices. During this study, we tried not to only point to...
The Effect of the Step Height on Energy Dissipation in Stepped Spillways Using Numerical Simulation
, Article Arabian Journal for Science and Engineering ; Vol. 39, issue. 4 , 2014 , p. 2587-2594 ; Hosseini, K ; Abdi, H ; Hosseini, M ; Sharif University of Technology
Abstract
From 1970s, studies have been conducted on the hydraulic design of stepped spillways and many empirical formulas were developed. Despite the simple geometry of these spillways, their hydraulic behavior is complicated. As a result, for many cases, the physical models are studied to verify the design. Numerical simulation is considered as a tool to reduce the laboratory tests, in order to save time and money. Furthermore, the parameters which are not investigated or measured in physical models could be evaluated. In this paper, the results of numerical simulations are compared with the results of physical models and empirical formulas for the spillway of Renwick dam studied in a 1/8 scale...
Temperature tunable random laser using superconducting materials
, Article Optics Communications ; Volume 285, Issue 7 , 2012 , Pages 1900-1904 ; 00304018 (ISSN) ; Hosseini, M ; Bahrampour, A. R ; Mahdavi, S. M ; Sharif University of Technology
2012
Abstract
We propose that spectral intensity of superconductor based random lasers can be made tunable by changing temperature. The two fluid model and wavelength dependent dispersion formula have been employed to describe the optical response of the superconducting materials. Random laser characteristics have been calculated using the one dimensional FDTD method. Our simulation results reveal that the emission spectrum can be manipulated through the ambient temperature of the system. It is observed that transition from metal phase to pure superconducting phase leads to the enhancement of the laser emission. Furthermore, spatial distribution of the fields in one dimensional disordered media is very...
Pull-in behavior of functionally graded micro/nano-beams for MEMS and NEMS switches
, Article Microsystem Technologies ; 2018 ; 09467076 (ISSN) ; Mahdavi Adeli, M ; Hosseini, M ; Sharif University of Technology
Springer Verlag
2018
Abstract
In this paper, pull-in behavior of cantilever micro/nano-beams made of functionally graded materials (FGM) with small-scale effects under electrostatic force is investigated. Consistent couple stress theory is employed to study the influence of small-scale on pull-in behavior. According to this theory, the couple tensor is skew-symmetric by adopting the skew-symmetric part of the rotation gradients. The material properties except Poisson’s ratio obey the power law distribution in the thickness direction. The approximate analytical solutions for the pull-in voltage and pull-in displacement of the microbeams are derived using the Rayleigh–Ritz method. Comparison between the results of the...
Pull-in behavior of functionally graded micro/nano-beams for MEMS and NEMS switches
, Article Microsystem Technologies ; Volume 25, Issue 8 , 2019 , Pages 3165-3173 ; 09467076 (ISSN) ; Mahdavi Adeli, M ; Hosseini, M ; Sharif University of Technology
Springer Verlag
2019
Abstract
In this paper, pull-in behavior of cantilever micro/nano-beams made of functionally graded materials (FGM) with small-scale effects under electrostatic force is investigated. Consistent couple stress theory is employed to study the influence of small-scale on pull-in behavior. According to this theory, the couple tensor is skew-symmetric by adopting the skew-symmetric part of the rotation gradients. The material properties except Poisson’s ratio obey the power law distribution in the thickness direction. The approximate analytical solutions for the pull-in voltage and pull-in displacement of the microbeams are derived using the Rayleigh–Ritz method. Comparison between the results of the...
Production of uniform size cell-enclosing silk derivative vehicles through coaxial microfluidic device and horseradish crosslinking reaction
, Article European Polymer Journal ; Volume 172 , 2022 ; 00143057 (ISSN) ; Hosseini, M ; Varaa, N ; Mahmoodi, N ; Goodarzi, A ; Taghdiri Nooshabadi, V ; Hassanzadeh, S ; Arabpour, Z ; Khanmohammadi, M ; Sharif University of Technology
Elsevier Ltd
2022
Abstract
Silk fibroin (SF) as a natural biopolymer holds great potential in biomedical research because of its biocompatibility, easy processability and high strength properties. However, slow gelation time has narrowed its applications, specifically in cell-laden microparticle production due to insufficient crosslinkable moieties. This study aimed to develop cell-laden silk fibroin-phenol (SF-Ph) microparticle through co-flow microfluidic system using SF conjugated Ph moieties whereas covalent crosslinking is mediated with horseradish peroxidase (HRP) in the presence of hydrogen peroxide (H2O2). For this, the SF-Ph was synthesized through carbodiimide condensation crosslinking reaction. Aqueous...
Production of perovskite catalysts on ceramic monoliths with nanoparticles for dual fuel system automobiles
, Article International Journal of Environmental Science and Technology ; Volume 6, Issue 1 , 2009 , Pages 105-112 ; 17351472 (ISSN) ; Arzani, K ; Nemati, A ; Hosseini, M ; Sharif University of Technology
CEERS
2009
Abstract
(Lanthanum, Cerium)(Iron, Manganese, Cobalt, Palladium)(Oxygen)3- Perovskite catalyst was prepared by the citrate route and deposited on ceramic monoliths via dip coating procedure. The catalyst was applied on a car with XU7 motors and the amount of emission was monitored with vehicle emission test systems in Sapco company. The results were compared with the imported catalyst with noble metals such as palladium, platinum and rhodium by Iran Khodro company based on the Euro III standards. The catalysts were characterized by specific surface area measurements, scanning electron microscopy, X-ray diffraction, line scan and map. In the results, obtained in the home made sample, the amount of...
Principal component analysis using constructive neural networks
, Article 2007 International Joint Conference on Neural Networks, IJCNN 2007, Orlando, FL, 12 August 2007 through 17 August 2007 ; 2007 , Pages 558-562 ; 10987576 (ISSN) ; 142441380X (ISBN); 9781424413805 (ISBN) ; Seyedsalehi, S. A ; Noori Hosseini, M ; Sadati, N ; Sharif University of Technology
2007
Abstract
In this paper, a new constructive auto-associative neural network performing nonlinear principal component analysis is presented. The developed constructive neural network maps the data nonlinearly into its principal components and preserves the order of principal components at the same time. The weights of the neural network are trained by a combination of Back Propagation (BP) and Genetic Algorithm (GA) which accelerates the training process by preventing local minima. The performance of the proposed method was evaluated by means of two different experiments that illustrated its efficiency. ©2007 IEEE
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...
PH-Responsive chitosan-adorned niosome nanocarriers for co-delivery of drugs for breast cancer therapy
, Article ACS Applied Nano Materials ; Volume 5, Issue 7 , 2022 , Pages 8811-8825 ; 25740970 (ISSN) ; Rezaei, N ; Jamshidifar, E ; Moradi Falah Langeroodi, S ; Abdihaji, M ; Mansouri, A ; Hosseini, M ; Ahmadkhani, N ; Rahmati, Z ; Heydari, M ; Vosough, M ; Akbarzadeh, I ; Mostafavi, E ; Sharif University of Technology
American Chemical Society
2022
Abstract
Breast cancer incidence has increased in recent decades. In the present study, an optimum formulation of chitosan (CS)-adorned niosome-based nanocarriers for co-delivery of doxorubicin (DOX) and vincristine (VIN) was developed for the treatment of breast cancer to reduce drug doses and overcome multidrug resistance. The three-level Box-Behnken method was utilized to optimize the particles in terms of size, polydispersity index (PDI), entrapment efficacy (EE (%)), and percent of drug release (%). The release rate of two drugs from CS-adorned nanoparticles (DOX+VIN/Nio/CS) in acidic and physiological pH is less than uncoated niosome (DOX+VIN/Nio). In addition, acidic pH increases the release...
Phase diagram of the strongly correlated Kane-Mele-Hubbard model
, Article Physical Review B - Condensed Matter and Materials Physics ; Volume 85, Issue 19 , 2012 ; 10980121 (ISSN) ; Mashkoori, M ; Hosseini, M ; Sharif University of Technology
2012
Abstract
The phase diagram of the strongly correlated Hubbard model with intrinsic spin-orbit coupling on the honeycomb lattice is explored here. We obtain the low-energy effective model describing the spin degree of freedom. The resulting model is then studied by the Schwinger boson and Schwinger fermion approaches. The Schwinger boson method elucidates the boundary between the spin liquid phase and the magnetically ordered phases, Neel order, and incommensurate Neel order. Increasing the strength of the spin-orbit coupling is shown to narrow the width of the spin liquid region. The Schwinger fermion approach sheds further light on the nature of the spin liquid phase. We obtained three different...
Optimization of a/b-axis regions of YBCO thin film for sensor applications
, Article Proceedings of the National Academy of Sciences India Section A - Physical Sciences ; Volume 88, Issue 4 , 2018 , Pages 625-628 ; 03698203 (ISSN) ; Hosseini, M ; Fardmanesh, M ; Sharif University of Technology
Springer
2018
Abstract
The effect of substrate temperature on epitaxial growth of Y1Ba2Cu3O7−x film deposited on (100) crystalline lanthanum aluminate (LAO) substrates by RF Sputtering method has been investigated. The crystal mismatch between film and substrate is about 1.6%. The sputtering was carried out in vacuum with base pressure better than 10−5 Torr and 10/20 Pa oxygen/argon partial pressures. Substrate temperature at this condition is about 730 °C based on Bormann–Hammond diagram. As well known, because of the small lattice mismatch between YBCO and LAO, fabricated thin films are not perfectly c-axis and there is tendency to form a/b-axis regions in the film. Due to substantial effects of the density and...
Monte Carlo simulation of Feynman-α and Rossi-α techniques for calculation of kinetic parameters of Tehran research reactor
, Article Annals of Nuclear Energy ; Volume 38, Issue 10 , 2011 , Pages 2140-2145 ; 03064549 (ISSN) ; Vosoughi, N ; Hosseini, M ; Sharif University of Technology
Abstract
Noise analysis techniques including Feynman-α (variance-to-mean) and Rossi-α (correlation) have been simulated by MCNP computer code to calculate the prompt neutron decay constant (α0), effective delayed neutron fraction (βeff) and neutron generation time (Λ) in a subcritical condition for the first operating core configuration of Tehran Research Reactor (TRR). The reactor core is considered to be in zero power (reactor power is less than 1 W) in the entire simulation process. The effect of some key parameters such as detector efficiency, detector position and its dead time on the results of simulation has been discussed as well. The results of proposed method in the current study are...
Modeling superconductive fault current limiter using constructive neural networks
, Article 2007 IEEE International Symposium on Industrial Electronics, ISIE 2007, Caixanova - Vigo, 4 June 2007 through 7 June 2007 ; 2007 , Pages 2859-2863 ; 1424407559 (ISBN); 9781424407552 (ISBN) ; Sadati, N ; Hosseini, M. N ; Sharif University of Technology
2007
Abstract
Although so many advances have been proposed in the field of artificial intelligence and superconductivity, there are few reports on their combination. On the other hand, because of the nonlinear and multivariable characteristics of the superconductive elements and capabilities of neural networks in this field, it seems useful to apply the neural networks to model and control the superconductive phenomena or devices. In this paper, a new constructive neural network (CNN) trained by two different optimization algorithms; back-propagation and genetic algorithm, is proposed which models the behavior of the superconductive fault current limiters (SFCLs). Simulation results show that the proposed...