Results 31 to 40 of about 473,597 (273)
Model Reference Adaptive Control for Milk Fermentation in Batch Bioreactors
Applied Sciences, 2020 This paper presents the advanced control theory’s original utilisation to realise a system that controls the fermentation process in batch bioreactors.
Jožef Ritonja +2 more
doaj +1 more source
Nihon Kikai Gakkai ronbunshu, 2021 In this paper, the simple dynamic model for calculation of the axle-box acceleration (ABA) is established for conveniently detecting rail breakage on trains.
Hiroyuki AIZAWA +2 more
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Frontal Facial Symmetry Detection Using Eigenvalue Method [PDF]
, 2008 Facial symmetry is correspondence of face components on the both sides of face, left and right of a dividing line or about a center or an axis. Most of the research use face component like eyes, nose and ears component to identify facial symmetry.
A.W., Harya Iswara +2 more
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Eigenvalue Analysis for Metamorphic Detection
Journal of Computer Virology and Hacking Techniques, 2019 Metamorphic malware changes its internal structure on each infection while maintaining its function. Although many detection techniques have been proposed, practical and effective metamorphic detection remains a difficult challenge. In this paper, we analyze a previously proposed eigenvector-based method for metamorphic detection.
Sayali Deshpande +2 more
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Effect of hoop frequency and impact velocity on BBCOR of metal baseball bat
Nihon Kikai Gakkai ronbunshu, 2017 The metal bats are more advantageous than the traditional wooden bats due to their specific properties such as improved strength, lower cost, and durability.
Yuu TAKASHIMA +5 more
doaj +1 more source
On the Eigenvalue Density of Real and Complex Wishart Correlation Matrices
, 2010 Wishart correlation matrices are the standard model for the statistical analysis of time series. The ensemble averaged eigenvalue density is of considerable practical and theoretical interest.
C. Chatfield +9 more
core +1 more source
Eigenvectors from Eigenvalues Sparse Principal Component Analysis [PDF]
Journal of Computational and Graphical Statistics, 2021 We present a novel technique for sparse principal component analysis. This method, named Eigenvectors from Eigenvalues Sparse Principal Component Analysis (EESPCA), is based on the formula for computing squared eigenvector loadings of a Hermitian matrix from the eigenvalues of the full matrix and associated sub-matrices.
openaire +3 more sources
Use of FACTS devices in Mitigating Sub Synchronous Resonance
Advances in Electrical and Electronic Engineering, 2020 This study evaluates the use of Flexible Alternating Current Transmission System (FACTS) devices in mitigating Subsynchronous Resonance (SSR). SSR is defined as a condition wherein an electrical network exchanges energy with a turbine generator at one or
Mohammed Redha Qader
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Hyperbolic triangles without embedded eigenvalues
, 2017 We consider the Neumann Laplacian acting on square-integrable functions on a triangle in the hyperbolic plane that has one cusp. We show that the generic such triangle has no eigenvalues embedded in its continuous spectrum.
Hillairet, Luc, Judge, Chris
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Regularized Gaussian Discriminant Analysis Through Eigenvalue Decomposition [PDF]
Journal of the American Statistical Association, 1996 Abstract Friedman proposed a regularization technique (RDA) of discriminant analysis in the Gaussian framework. RDA uses two regularization parameters to design an intermediate classifier between the linear, the quadratic the nearest-means classifiers.
Halima Bensmail, Gilles Celeux
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