A new local criterion for the lattice property

1994 ◽  
Vol 31 (4) ◽  
pp. 608-610 ◽  
Author(s):  
G�nter M. Ziegler
Keyword(s):  
Local Criterion ◽  
Lattice Property

A Research on Navigation Star Catalog Selection Algorithm Based on SVM

2013 ◽  
Vol 706-708 ◽  
pp. 613-617
Author(s):  
Fu Cheng Liu ◽  
Zhao Hui Liu ◽  
Wen Liu ◽  
Dong Sheng Liang ◽  
Kai Cui ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Field Of View ◽  
Support Vector ◽  
Selection Algorithm ◽  
Boltzmann Entropy ◽  
Local Criterion ◽  
Star Catalog ◽  
Uniform Sampling ◽  
Global Criterion ◽  
Small Capacity

A navigation star catalog (NSC) selection algorithm via support vector machine (SVM) is proposed in this paper. The sphere spiral method is utilized to generate the sampling boresight directions by virtue of obtaining the uniform sampling data. Then the theory of regression analysis methods is adopted to extract the NSC, and an evenly distributed and small capacity NSC is obtained. Two criterions, namely a global criterion and a local criterion, are defined as the uniformity criteria to test the performance of the NSC generated. Simulations show that, compared with MFM, magnitude weighted method (MWM) and self-organizing algorithm(S-OA), the Boltzmann entropy (B.e) of SVM selection algorithm (SVM-SA) is the minimum, to 0.00207. Simultaneously, under the conditions such as the same field of view (FOV) and elimination of the hole, both the number of guide stars (NGS) and standard deviation (std) of SVM-SA is the least, respectively 7668 and 2.17. Consequently, the SVM-SA is optimal in terms of the NGS and the uniform distribution, and has also a strong adaptability.

A global and a local criterion in defining the tidal radius

2003 ◽  
Vol 324 (5) ◽  
pp. 491-505 ◽  
Author(s):  
R. Caimmi ◽  
L. Secco
Keyword(s):  
Local Criterion

A new non-local criterion in high-cycle multiaxial fatigue for non-proportional loadings

2007 ◽  
Vol 29 (8) ◽  
pp. 1465-1474 ◽  
Author(s):  
A CHAMAT ◽  
M ABBADI ◽  
J GILGERT ◽  
F COCHETEUX ◽  
Z AZARI
Keyword(s):  
Multiaxial Fatigue ◽  
Local Criterion ◽  
Non Local

Hierarchical Cu pillar electrodes for electrochemical CO2 reduction to formic acid with low overpotential

2016 ◽  
Vol 18 (8) ◽  
pp. 6252-6258 ◽  
Author(s):  
Jaehoon Chung ◽  
Da Hye Won ◽  
Jaekang Koh ◽  
Eun-Hee Kim ◽  
Seong Ihl Woo
Keyword(s):  
Electrochemical Performance ◽  
Formic Acid ◽  
Surface Area ◽  
Co2 Reduction ◽  
Lattice Property ◽  
Cu Pillar ◽  
Electrochemical Co2 Reduction ◽  
Low Overpotential ◽  
Enhanced Electrochemical Performance

Hierarchical Cu pillar electrodes have shown enhanced electrochemical performance for CO2 reduction due to their increased surface area and controlled lattice property.

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