Results 61 to 70 of about 4,267,953 (306)

On the General Analytical Solution of the Kinematic Cosserat Equations [PDF]

, 2016
Based on a Lie symmetry analysis, we construct a closed form solution to the kinematic part of the (partial differential) Cosserat equations describing the mechanical behavior of elastic rods.
D Michels, D Michels, D Robertz, DL Michels, DQ Cao, E Cosserat, F Boyer, F Oliveri, I Riedel-Kruse, J Ainley, J Butcher, J Carminati, J Elgeti, JM Thomas, R Cortez, R Goldstein, R Granger, RTM Filho, SS Antman, T Bächler, W Hereman, WM Seiler, Y Blinkov   +22 more
core   +2 more sources

Independent Innovation Analysis for Nonlinear Vector Autoregressive Process

, 2020
The nonlinear vector autoregressive (NVAR) model provides an appealing framework to analyze multivariate time series obtained from a nonlinear dynamical system. However, the innovation (or error), which plays a key role by driving the dynamics, is almost always assumed to be additive.
Morioka, Hiroshi, Hälvä, Hermanni, Hyvärinen, Aapo   +2 more
openaire   +3 more sources

Ballistocardiogram measurement and noise reduction by using the blind source separation

Mechanical Engineering Journal
Ballistocardiogram (BCG) is the repetitive body movements related to cardiac cycle. By using non-invasive sensor embedded in a car seat, the sensor reads the vibration caused by the BCG as minute voltage at any time while driving, making it possible to ...
Nobuaki MOTOFUSA, Toshihiko KOMATSUZAKI, Koji KANEDA, Masayuki TOYAMA, Keisuke ONODA, Wataru HAYASHI   +5 more
doaj   +1 more source

Decorrelation of Neutral Vector Variables: Theory and Applications

, 2017
In this paper, we propose novel strategies for neutral vector variable decorrelation. Two fundamental invertible transformations, namely serial nonlinear transformation and parallel nonlinear transformation, are proposed to carry out the decorrelation ...
Guo, Jun, Leijon, Arne, Ma, Zhanyu, Tan, Zheng-Hua, Xue, Jing-Hao, Yang, Zhen   +5 more
core   +1 more source

Spatially Informed Independent Vector Analysis

, 2019
We present a Maximum A Posteriori (MAP) derivation of the Independent Vector Analysis (IVA) algorithm, a blind source separation algorithm, by incorporating a prior over the demixing matrices, relying on a free-field model. In this way, the outer permutation ambiguity of IVA is avoided.
Brendel, Andreas, Haubner, Thomas, Kellermann, Walter   +2 more
openaire   +2 more sources

Model-independent search for the Abelian Z' boson in the Bhabha process

, 2004
Model-independent observables to pick out the Abelian Z' signal in the Bhabha process are introduced at energies >= 200 GeV. They measure separately the Z'-induced vector and axial-vector four-fermion contact couplings.
A. V. Gulov, V. Demchik, V. V. Skalozub
core   +1 more source

Present Bounds on New Neutral Vector Resonances from Electroweak Gauge Boson Pair Production at the LHC [PDF]

, 2011
Several extensions of the Standard Model predict the existence of new neutral spin-1 resonances associated to the electroweak symmetry breaking sector.
Eboli, O. J. P., Gonzalez-Fraile, J., Gonzalez-Garcia, M. C.   +2 more
core   +2 more sources

The Identification of Alzheimer’s Disease Using Functional Connectivity Between Activity Voxels in Resting-State fMRI Data

IEEE Journal of Translational Engineering in Health and Medicine, 2020
Background: Alzheimer's disease (AD) is a common neurodegenerative disease occurring in the elderly population. The effective and accurate classification of AD symptoms by using functional magnetic resonance imaging (fMRI) has a great significance for ...
Yuhu Shi, Weiming Zeng, Jin Deng, Weifang Nie, Yifei Zhang   +4 more
doaj   +1 more source

Model-Independent Searches for New Quarks at the LHC [PDF]

, 2011
New vector-like quarks can have sizable couplings to first generation quarks without conflicting with current experimental constraints. The coupling with valence quarks and unique kinematics make single production the optimal discovery process.
A Atre, Anupama Atre, B Holdom, DE Morrissey, Erkcan Ozcan, F Aguila del, F Aguila del, F Aguila del, F Aguila del, F Aguila del, F Aguila del, F Aguila del, F Aguila del, F Gursey, F Gursey, G Cacciapaglia, G Cacciapaglia, G Dissertori, GD Kribs, Georges Azuelos, Gokhan Unel, H Martinez, I Gogoladze, J Alwall, J Alwall, J Alwall, J Erler, J Mrazek, J Pumplin, JA Aguilar-Saavedra, José Santiago, K Agashe, K Kumar, M Carena, M Carena, Marcela Carena, ME Albrecht, ME Peskin, MS Carena, MS Carena, O Eberhardt, PH Frampton, R Contino, R Contino, R Mehdiyev, S Casagrande, S Sultansoy, T Aaltonen, T Figy, T Han, T Sjöstrand, Tao Han, VM Abazov, Z Han, Z Han   +54 more
core   +2 more sources

Independent vector analysis using subband and subspace nonlinearity [PDF]

EURASIP Journal on Advances in Signal Processing, 2013
Independent vector analysis (IVA) is a recently proposed technique, an application of which is to solve the frequency domain blind source separation problem. Compared with the traditional complex-valued independent component analysis plus permutation correction approach, the largest advantage of IVA is that the permutation problem is directly addressed
Na, Yueyue, Yu, Jian, Chai, Bianfang
openaire   +1 more source