This thesis aimed to apply the SEM for dynamic analysis of cracked beam subjected moving harmonic force in the frequency domain. Namely, the frequency response of a cracked beam subjected to moving harmonic force is obtained explicitly and examined in dependence upon the load and crack parameters. This task is acknowledged herein spectral analysis of cracked beam subjected to moving load.
Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article A Note on the Solution of the Von ´ ´ Karman Equations Using Series and Chebyshev Spectral Methods
Two decades ago when we wrote Spectral Methods in Fluid Dynamics (1988),
the subject was still fairly novel. Motivated by the many favorable comments
we have received and the continuing interest in that book (which will be
referred to as CHQZ1), and yet desiring to present a more modern perspective,
we embarked on the project which resulted in our recent book (Canuto
et al. (2006), referred to as CHQZ2) and the present new book (referred to
In this paper we study spectral learning methods for non-deterministic split headautomata grammars, a powerful hiddenstate formalism for dependency parsing. We present a learning algorithm that, like other spectral methods, is efﬁcient and nonsusceptible to local minima. We show how this algorithm can be formulated as a technique for inducing hidden structure from distributions computed by forwardbackward recursions.
Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: A shifted Legendre spectral method for fractional-order multi-point boundary value problems
Fourier methods have revolutionized ﬁelds of science and engineering, from radio astronomy to medical imaging, from seismology to spectroscopy. In this chapter, we present some of the basic applications of Fourier and spectral methods that have made these revolutions possible.
We introduce a spectral learning algorithm for latent-variable PCFGs (Petrov et al., 2006). Under a separability (singular value) condition, we prove that the method provides consistent parameter estimates.1 Introduction
Statistical models with hidden or latent variables are of great importance in natural language processing, speech, and many other ﬁelds. The EM algorithm is a remarkably successful method for parameter estimation within these models: it is simple, it is often relatively efﬁcient, and it has well understood formal properties. ...
This paper presents an unsupervised learning approach to disambiguate various relations between name entities by use of various lexical and syntactic features from the contexts. It works by calculating eigenvectors of an adjacency graph’s Laplacian to recover a submanifold of data from a high dimensionality space and then performing cluster number estimation on the eigenvectors. Experiment results on ACE corpora show that this spectral clustering based approach outperforms the other clustering methods. ...
The final chapter of the book presents an innovative method for fluid mechanical
design in which an object within the flow field is build element-by-element. Each
element is introduced into the flow, and its effect on a cost function is minimized with
respect to the object’s position. An element may represent added material or a
removed part of the existing structure. This chapter presents a strong degree of
Science progresses by a symbiotic interaction between theory and experiment: theory is
used to interpret experimental results and may suggest new experiments; experiment
helps to test theoretical predictions and may lead to improved theories. Theoretical
Chemistry (including Physical Chemistry and Chemical Physics) provides the concep-
tual and technical background and apparatus for the rationalisation of phenomena in the
chemical sciences. It is, therefore, a wide ranging subject, reflecting the diversity of
molecular and related species and processes arising in chemical systems.
In the latest years graphene based research has witnessed a tremendous
explosion. This two dimensional ‘‘dream’’ material has come into the main spotlight of fundamental and applied research in diverse nano-science fields, but
surprisingly rapidly, it has also attracted the interest of major stakeholders in the
Science seeks to understand and explain our world, be that its physical composition
(geology), chemical composition (chemistry), the way its composite matter interacts
(physics), or the organisms that inhabit it (biology). We can only get an idea of what
life is all about by piecing together information from each discipline to give us the big
We don’t have to look very far to realize that it is difficult, if not impossible, to
separate biology from chemistry. After all, our body is a bag of chemicals.
Chapter 17 TIME SERIES AND SPECTRAL METHODS IN ECONOMETRICS
A discrete time series is here defined as a vector x, of observations made at regularly spaced time points t = 1,2,. . . , n. These series arise in many fields, including oceanography, meterology, medicine, geophysics, as well as in economics
A very large class of important computational problems falls under the general rubric of “Fourier transform methods” or “spectral methods.” For some of these problems, the Fourier transform is simply an efﬁcient computational tool for accomplishing certain common manipulations of data.
engineering; these methods allow considerable freedom in putting computational elements where you want them, important when dealing with highly irregular geometries. Spectral methods [13-15] are preferred for very regular geometries and smooth functions
Vector seed selection was applied to the aforementioned eigenspace images, or multi-
spectral images, to obtain initial seeds. The algorithm of seeded region growing was further
adopted to divide the multi-spectral images into many small regions. The algorithm of
region merging was employed to merge similar regions as well as to combine smaller
regions with the nearest neighboring regions.
Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học Journal of Biology đề tài:
Research Article A Spectral Regularization Method for a Cauchy Problem of the Modiﬁed Helmholtz Equation
A new 3 -acetoxy-urs-23,28,30-trioic acid, named acantrifoic acid B (1), has been isolated from the leaves of Acanthopanax trifoliatus. Its chemical structure has been characterized on the basis of spectral and chemical evidence. I - INTRODUCTION Acanthopanax trifoliatus (L.) Merr., (Araliaceae) is distributed in North Vietnam and used in the folk medicines of south–east Asia (Chi, 1997; Loi, 2001) as a drug with ginsenglike activity. Lupane-triterpene carboxylic acids and a lupane-triterpene glycoside have been reported from the leaves of A. trifoliatus (Ty et al.
The MeOH extract of Nam ginseng (roots and rhizomes of Dracaena angustifolia) afforded four new spirostanol saponins, named namonins A-D (1 - 4), along with another four known steroidal saponins (5 - 8). Their structures were determined on basis of spectral analyses and chemical methods.