نتایج جستجو برای: normal mode analysis and vector matrix
تعداد نتایج: 17399593 فیلتر نتایج به سال:
In this paper, we analyze the electromagnetic response of a metamaterial slab in the case of normal incidence using the point-dipole interaction model and an expansion of polarization by eigenmodes. The problem is simplified by assuming that the lattice dimensions are smaller than a half wavelength and invoking the nearest neighbor approximation. In this manner, we find the structure supports t...
We study eigenfunctions φj and eigenvalues Ej of the Dirichlet Laplacian on a bounded domain Ω ⊂ Rn with piecewise smooth boundary. We bound the distance between an arbitrary parameter E > 0 and the spectrum {Ej} in terms of the boundary L2-norm of a normalized trial solution u of the Helmholtz equation (∆ + E)u = 0. We also bound the L2-norm of the error of this trial solution from an eigenfun...
objective: development of high producing mammalian cell lines is a major bottleneck in manufacturing of recombinant therapeutic proteins. this study examines the effect of using the matrix attachment region from the human interferon beta gene in combination with promoter activation strategy with e1a 13s protein on human tissue plasminogen activator (t-pa) expression in chinese hamster ovary (ch...
In this paper, vibration analysis of multiple-stepped Bernoulli-Euler and Timoshenko beams carrying point masses is presented analytically for various boundary conditions. Each attached element is considered to have both translational and rotational inertias. The method of solution is “transfer matrix method” which is based on the changes in the vibration modes at the vicinity of any discontinu...
This paper proposes a method to generate realistic character images from on-line patterns. From the pen trajectory of an on-line pattern, the proposed method generates images of various stroke shapes using four painting modes: constant line mode, proportional mode and two calligraphic modes. Particularly, the calligraphic modes combine the pen trajectory with real stroke-shape images so that th...
the purpose of the present study was to investigate the latent pattern underlying reading ability . some 272 male and female participants. english majors at the ba level , participated in the study. two valid tests were used in this study, the reading test developed exclusively for the purpose of this project and academic reading section of ielts. to investigate the possible latent underlying...
SUMMARY New approaches are developed that use measured data to adjust the analytical mass and stiiness matrices of a system so that the agreement between the analytical modes of vibration and the modal survey is improved. By adding known masses to the structure of interest, measuring the modes of vibration of this mass-modiied system, and nally using this set of new data in conjunction with the...
Abstract The problem of common mode voltage in inverters can be considered as a major issue which leads to motor bearing failures. To eliminate these voltages, proposing some methods seems to be necessary. This paper has a comparative study on estimating modulation methods of eliminating common mode voltage. The main idea of these methods is based on generation of reference vector with nearest ...
In this work, we propose a simple method for obtaining the algebraic solution of a complex interval linear system where coefficient matrix is a complex matrix and the right-hand-side vector is a complex interval vector. We first use a complex interval version of the Doolittle decomposition method and then we restrict the Doolittle's solution, by complex limiting factors, to achieve a complex in...
the principle of dimensionality reduction with pca is the representation of the dataset ‘x’in terms of eigenvectors ei ∈ rn of its covariance matrix. the eigenvectors oriented in the direction with the maximum variance of x in rn carry the most relevant information of x. these eigenvectors are called principal components [8]. assume that n images in a set are originally represented in mat...
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