An autonomic problem determination system using adaptive multi-levels dictionaries and singular value decomposition techniques

2009 ◽  
Vol 1 (1) ◽  
pp. 50
Author(s):  
Thomas Kwok ◽  
Hoi Chan
Keyword(s):  
Singular Value Decomposition ◽  
Singular Value ◽  
Decomposition Techniques ◽  
Determination System ◽  
Value Decomposition

The use of level singular value decomposition techniques for vector velocity determinations and its application to TID observations

1997 ◽  
Vol 20 (6) ◽  
pp. 1277-1280
Author(s):  
L.-C. Tsai ◽  
J.Y. Liu ◽  
F.T. Berkey ◽  
G.S. Stiles
Keyword(s):  
Singular Value Decomposition ◽  
Singular Value ◽  
Decomposition Techniques ◽  
Vector Velocity ◽  
Value Decomposition

scholarly journals Pengenalan Gangguan Ginjal Melalui Iridologi Menggunakan Hidden Markov Model (HMM)

2019 ◽  
Vol 9 (2) ◽  
pp. 19-26
Author(s):  
Reza Satria Rinaldi ◽  
Wagiasih Wagiasih ◽  
Ika Novia Anggraini
Keyword(s):  
Image Processing ◽  
Singular Value Decomposition ◽  
Markov Model ◽  
Hidden Markov Model ◽  
Hidden Markov ◽  
Singular Value ◽  
Parameter Determination ◽  
Iris Image ◽  
Determination System ◽  
Value Decomposition

ABSTRACTIridology has not been widely applied for the recognition of kidney disorders. identification of kidney disorders through iris image using iridology chart, can make it easier to make diagnosis to find out about kidney disorders. The method used in the process of recognition of kidney disorders through iridology is the Hidden Markov Model (HMM) method, with a HMM parameter determination system using the calculation of the koefisien Singular Value Decomposition (SVD) coefficient. The size of the codebook used is 7, i.e. 16, 32, 64, 128, 256, 512 and 1024. Different sizes of codebooks will result in different recognition times. The time needed will be longer when the size of the codebook is getting bigger. The accuracy of the process of recognition of kidney disorders through iridology using the HMM method in this study is 68.75% for codebook 16, 87.5% for codebook 32, 100% for codebook 128 and 100% for codebook 512. Keywords : iridology, codebook, image processing, singular value decomposition (SVD), Hidden Markov Model (HMM).

A novel efficient solver for Ampere's equation in general toroidal topologies based on singular value decomposition techniques

2020 ◽  
Vol 406 ◽  
pp. 109214
Author(s):  
J.M. Reynolds-Barredo ◽  
H. Peraza-Rodríguez ◽  
R. Sanchez ◽  
V. Tribaldos
Keyword(s):  
Singular Value Decomposition ◽  
Singular Value ◽  
Decomposition Techniques ◽  
Efficient Solver ◽  
Value Decomposition

Analysis of electromagnetic wave direction finding performed by spaceborne antennas using singular-value decomposition techniques

Radio Science ◽  
1995 ◽  
Vol 30 (6) ◽  
pp. 1699-1712 ◽  
Author(s):  
H. P. Ladreiter ◽  
P. Zarka ◽  
A. Lecacheux ◽  
W. Macher ◽  
H. O. Rucker ◽  
...  
Keyword(s):  
Electromagnetic Wave ◽  
Singular Value Decomposition ◽  
Direction Finding ◽  
Singular Value ◽  
Decomposition Techniques ◽  
Wave Direction ◽  
Value Decomposition

Weakest Bus Identification Based on Modal Analysis and Singular Value Decomposition Techniques

2011 ◽  
Vol 7 (2) ◽  
pp. 157-162 ◽  
Author(s):  
M. K. Jalboub ◽  
H. S. Rajamani ◽  
R.A. Abd-Alhameed ◽  
A. M. Ihbal
Keyword(s):  
Singular Value Decomposition ◽  
Modal Analysis ◽  
Singular Value ◽  
Decomposition Techniques ◽  
Value Decomposition
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