A New Approach for Measuring the Distribution of Graphite Nodules Based on Singular Value Decomposition

2011 ◽  
Author(s):  
Ana Herrera-Navarro ◽  
Hugo Jimenez-Hernandez ◽  
Hayde Peregrina-Barreto ◽  
Luis Morales-Hern´ndez ◽  
Federico Manriquez-Guerrero ◽  
...  
Keyword(s):  
Singular Value Decomposition ◽  
Singular Value ◽  
New Approach ◽  
Value Decomposition

Stability Analysis of Uncertain Systems Using a Singular Value Decomposition-Based Metric

2015 ◽  
Vol 22 (05) ◽  
pp. 1550021 ◽  
Author(s):  
Young Kap Son ◽  
Gordon J. Savage
Keyword(s):  
Singular Value Decomposition ◽  
Dynamic Systems ◽  
Life Time ◽  
Singular Value ◽  
New Approach ◽  
Safety And Reliability ◽  
The Stability ◽  
Value Decomposition ◽  
Time Information ◽  
Domain Information

The stability of dynamic systems is important for satisfactory performance, safety and reliability. The study becomes more difficult when the system is nonlinear and when the ever present uncertainties in the components are considered. Herein a new approach is presented that uses time-domain information: It invokes design of experiments based on the uncertainty within the system, computer simulation of the dynamics to generate a matrix of discrete time responses that presents the variability of the response, and finally, singular value decomposition to separate out parameter information from time information. The variability in the elements in the first few left singular vectors predicts any instability that might occur over the complete life-time of the system. The key to the approach is the introduction of random variables and subsequent co-variance operations. A real-world example and comparison to established methods show the efficacy of the approach.

Application of singular value decomposition to vertical seismic profiling

Geophysics ◽  
1988 ◽  
Vol 53 (6) ◽  
pp. 778-785 ◽  
Author(s):  
Sergio L. M. Freire ◽  
Tad J. Ulrych
Keyword(s):  
Singular Value Decomposition ◽  
Singular Value ◽  
Seismic Profiles ◽  
New Approach ◽  
Vertical Seismic Profiles ◽  
Additional Information ◽  
Noise Rejection ◽  
Regular Sampling ◽  
Important Additional Information ◽  
Value Decomposition

An essential part of the interpretation of vertical seismic profiles (VSP) is the separation of the upgoing and downgoing waves. This paper presents a new approach which is based on the decomposition of time‐shifted VSP sections into eigenimages, using singular value decomposition (SVD). The first few eigenimages of the time‐shifted VSP section contain the contributions of the horizontally aligned downgoing waves. The last few eigenimages contain the contribution of uncorrelated noise components. The separated upgoing waves are recovered as a partial sum of the eigenimages. Important aspects of this approach are that regular sampling of the recording levels is not required, that the first‐break times need not be measured with extreme accuracy, that noise rejection may be automatically included in the processing, and that eigenimages or sums of eigenimages which may be computed as part of the approach can provide important additional information.

Improving TF-IDF with Singular Value Decomposition (SVD) for Feature Extraction on Twitter

2017 ◽  
Author(s):  
Ammar Ismael Kadhim ◽  
Yu-N Cheah ◽  
Inaam Abbas Hieder ◽  
Rawaa Ahmed Ali
Keyword(s):  
Feature Extraction ◽  
Singular Value Decomposition ◽  
Singular Value ◽  
Value Decomposition
Sign in / Sign up

Export Citation Format

Share Document