Results 191 to 200 of about 71,044 (233)

Analysis of CATA data by Singular Value Decomposition (SVD)

2022
_ Data by CATA (Check-All-That-Apply) method was analyzed by SVD (Singular Value Decomposition). SVD extracts row and column informations of the cross table of CATA data. An example of SVD of a cross table, which is made of kinds of rice, column variables, and of questions, row variables, produced interesting results.
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Singular Value Decomposition (SVD)-Based Video Watermarking

2018
This chapter presents using singular value decomposition (SVD)-based video watermarking approaches. The experimental results of these approaches are also demonstrated in this chapter.
Ashish M. Kothari, Vedvyas Dwivedi, Rohit M. Thanki   +2 more
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Substructuring technique: improvement by means of singular value decomposition (SVD)

Applied Acoustics, 2001
Abstract There are two classical methods used for the determination of the dynamic behaviour of a coupled structure: (a) analytical modeling and (b) experimental modal analysis. However, both these methods fail to give acceptable results due to various reasons.
T.P. Gialamas, D.T. Tsahalis, D. Otte, H. Van der Auwaraer, D.A. Manolas   +4 more
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Reactor noise analysis based on the singular value decomposition (SVD)

Annals of Nuclear Energy, 1998
Abstract This paper reviews different techniques to analyze BWR's stability regime from neutronic power signals, and alternative methodologies based on the singular value decomposition (SVD) of a given matrix are proposed. The results obtained from experimental signals using two different constructions of the embedding space of the system have been ...
J. Navarro-Esbrí, G. Verdú, D. Ginestar, J.L. Muñoz-Cobo   +3 more
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Singular Value Decomposition (SVD) Based Attack on Different Watermarking Schemes

Computing Letters, 2006
Digital Watermarking is an excellent tool at the disposal of the owners of the digital content to protect their Intellectual Property Rights (IPR). In this paper we present an attack on several watermarking schemes that forgo their claims of proving ownership of digital content.
Milind Engedy, Munaga. V. N. K. Prasad, Ashutosh Saxena   +2 more
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Passivity Verification and Macromodel Interpolation Using Singular Value Decomposition (SVD)

2015 IEEE Workshop on Microelectronics and Electron Devices (WMED), 2015
Approximation of the Rational Function (RF) order plays a key role in passivity checking of large interconnect memory design. RF approximation can be estimated using the Least- square solutions; the Singular Value Decomposition (SVD) is used to solve large order macromodels.
Dalia Elgamel, Roy Greeff, David Ovard
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Search Result Clustering using a Singular Value Decomposition (SVD)

2009
There are many search engines in the web, but they return along list of search results, ranked by their relevancies to the given query. Web users have to go through the list and examine the titles and (short) snippets sequentially to identify their required results.
Hussam Dahwa Abdulla, Vaclav Snasel
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Evaluation of Clustering Patterns using Singular Value Decomposition (SVD)

International Journal of Computational Models and Algorithms in Medicine, 2010
Computational techniques, such as Simple K, have been used for exploratory analysis in applications ranging from data mining research, machine learning, and computational biology. The medical domain has benefitted from these applications, and in this regard, the authors analyze patterns in individuals of selected age groups linked with the possibility ...
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Singular Value Decomposition (SVD) and Polar Form

2001
In this section we assume that we are dealing with a real Euclidean space E. Let \( f : E \rightarrow E \) be any linear map. In general, it may not be possible to diagonalize f. We show that every linear map can be diagonalized if we are willing to use two orthonormal bases. This is the celebrated singular value decomposition (SVD).
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Vehicle Recognition System Using Singular Value Decomposition (SVD) and Levenberg-Marquardt

2009 International Conference on Computational Intelligence, Modelling and Simulation, 2009
The purpose of this research is to develop a system that used to recognize image of vehicle and classified it into their classes using image processing method and artificial neural network. In the research, all the selected images are required to go through image processing technique to obtained desired data.
Zuraidi Saad, Muhammad Khusairi Osman, Zuli Imran Zulkafli, Sopiah Ishak   +3 more
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