The impact of MEG source reconstruction method on source-space connectivity estimation: A comparison between minimum-norm solution and beamforming

NeuroImage ◽  
2017 ◽  
Vol 156 ◽  
pp. 29-42 ◽  
Author(s):  
Ana-Sofía Hincapié ◽  
Jan Kujala ◽  
Jérémie Mattout ◽  
Annalisa Pascarella ◽  
Sebastien Daligault ◽  
...  
Keyword(s):  
Reconstruction Method ◽  
Minimum Norm ◽  
Source Reconstruction ◽  
Minimum Norm Solution ◽  
The Impact ◽  
Space Connectivity

Failure recovery for wrench capability of wire-actuated parallel manipulators

Robotica ◽  
2011 ◽  
Vol 30 (6) ◽  
pp. 941-950 ◽  
Author(s):  
Leila Notash
Keyword(s):  
Failure Modes ◽  
Parallel Manipulators ◽  
Failure Recovery ◽  
Partial Recovery ◽  
Minimum Norm ◽  
Minimum Norm Solution ◽  
Actuator Failures ◽  
Force Moment ◽  
Hybrid Actuation

SUMMARYWire-actuated parallel manipulators and their failures are studied in this paper taking into consideration their failure modes. A methodology for investigating the effect of wire/actuator failures on the force/moment capability of manipulators is presented, and the criteria for full and partial recovery from these failures are established. The methodology is also applicable for the cases that the minimum norm solution for the vector of wire tensions gives a negative value for tension by treating the corresponding wire as failed. The proposed criteria are also valid for the manipulators that utilize hybrid actuation of wires and joints. Three planar wire-actuated parallel manipulators are used as the case study to illustrate the proposed methodology and criteria.

On the Use of the Source Reconstruction Method for Estimating Radiated EMI in Electronic Circuits

2010 ◽  
Vol 59 (12) ◽  
pp. 3174-3183 ◽  
Author(s):  
Yuri Alvarez ◽  
Miguel Rodriguez ◽  
Fernando Las-Heras ◽  
Marta M. Hernando
Keyword(s):  
Reconstruction Method ◽  
Source Reconstruction ◽  
Electronic Circuits

An Improved Super-Resolution Source Reconstruction Method

2009 ◽  
Vol 58 (11) ◽  
pp. 3855-3866 ◽  
Author(s):  
Yu.A. Lopez ◽  
F. Las-Heras Andres ◽  
M.R. Pino ◽  
T.K. Sarkar
Keyword(s):  
Super Resolution ◽  
Reconstruction Method ◽  
Source Reconstruction

A New 3D Reconstruction Method for Human Coronary Bifurcations for Shear Stress Computations

2012 ◽  
Author(s):  
Frank Gijsen ◽  
Hans Schuurbiers ◽  
Michiel Schaap ◽  
Anton van der Steen ◽  
Jolanda Wentzel
Keyword(s):  
Shear Stress ◽  
Coronary Arteries ◽  
Arterial Wall ◽  
Plaque Formation ◽  
Atherosclerotic Plaques ◽  
Reconstruction Method ◽  
Human Coronary Artery ◽  
Multislice Computer Tomography ◽  
Stress Influences ◽  
The Impact

Atherosclerosis is characterized by lipid accumulation in the arterial wall, followed by an inflammatory response. Plaque formation is generally observed near bifurcations in coronary arteries. The composition of atherosclerotic plaques depends on the location, and it was hypothesized that blood flow induced shear stress influences plaque composition2. To study the impact of shear stress on atherosclerotic disease in human coronary arteries, we developed a technique that enables us to generate 3D lumen reconstruction based on multislice computer tomography (MSCT) and intravascular ultrasound (IVUS).We describe two approaches to generate 3D reconstructions of human coronary artery bifurcations and apply them to coronary segments with bifurcations. We will evaluate the effect on shear stress distribution and its relationship to wall thickness.

scholarly journals A Regularized Gradient Projection Method for the Minimization Problem

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Yonghong Yao ◽  
Shin Min Kang ◽  
Wu Jigang ◽  
Pei-Xia Yang
Keyword(s):  
Projection Method ◽  
Minimization Problem ◽  
Gradient Projection ◽  
Projection Algorithm ◽  
Gradient Projection Method ◽  
Minimum Norm ◽  
Minimum Norm Solution ◽  
Gradient Projection Algorithm

We investigate the following regularized gradient projection algorithmxn+1=Pc(I−γn(∇f+αnI))xn,n≥0. Under some different control conditions, we prove that this gradient projection algorithm strongly converges to the minimum norm solution of the minimization problemminx∈Cf(x).

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