Results 231 to 240 of about 110,162 (274)
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Reactor noise analysis based on the singular value decomposition (SVD)
Annals of Nuclear Energy, 1998Abstract 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 +3 more
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Electronics Letters, 2019
The usefulness of applying singular value decomposition (SVD) on triaxial accelerometer data for one-dimensional (1D) convolutional neural network (CNN) based fall and activity recognition is investigated. Three-dimensional reduction methods, namely, SVD,
Hyuk Cho, S. Yoon
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The usefulness of applying singular value decomposition (SVD) on triaxial accelerometer data for one-dimensional (1D) convolutional neural network (CNN) based fall and activity recognition is investigated. Three-dimensional reduction methods, namely, SVD,
Hyuk Cho, S. Yoon
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Singular Value Decomposition (SVD) Based Attack on Different Watermarking Schemes
Computing Letters, 2006Digital 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 +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), 2015Approximation 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)
2009There 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, 2010Computational 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
2001In 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, 2009The 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 +3 more
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The Journal of the Acoustical Society of America, 1999
The fish target strength estimation when using acoustic echoes from a single-beam echosounder is possible after solving ill-conditioned equations where probability density functions (PDFs) of echo level, target strength, and beam pattern are involved.
Marek Moszynski, Andrzej Stepnowski
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The fish target strength estimation when using acoustic echoes from a single-beam echosounder is possible after solving ill-conditioned equations where probability density functions (PDFs) of echo level, target strength, and beam pattern are involved.
Marek Moszynski, Andrzej Stepnowski
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IEEE Transactions on Instrumentation and Measurement, 2022
Haopeng Liang, Jie Cao, Xiaoqiang Zhao
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Haopeng Liang, Jie Cao, Xiaoqiang Zhao
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