Application and Advancing of Technology for Data Reliability Improvement Presented in the Orange Book CCSDS 551.1-O-1 "Correlated Data Generation"

Author(s):  
Valery Vorontsov
2001 ◽  
Vol 6 (2) ◽  
pp. 15-28 ◽  
Author(s):  
K. Dučinskas ◽  
J. Šaltytė

The problem of classification of the realisation of the stationary univariate Gaussian random field into one of two populations with different means and different factorised covariance matrices is considered. In such a case optimal classification rule in the sense of minimum probability of misclassification is associated with non-linear (quadratic) discriminant function. Unknown means and the covariance matrices of the feature vector components are estimated from spatially correlated training samples using the maximum likelihood approach and assuming spatial correlations to be known. Explicit formula of Bayes error rate and the first-order asymptotic expansion of the expected error rate associated with quadratic plug-in discriminant function are presented. A set of numerical calculations for the spherical spatial correlation function is performed and two different spatial sampling designs are compared.


2009 ◽  
Vol 129 (10) ◽  
pp. 949-956
Author(s):  
Kohji Ajiki ◽  
Hiroaki Morimoto ◽  
Fumiyuki Shimokawa ◽  
Shinya Sakai ◽  
Kazuomi Sasaki ◽  
...  

Author(s):  
Michael Hertl ◽  
Diane Weidmann ◽  
Alex Ngai

Abstract A new approach to reliability improvement and failure analysis on ICs is introduced, involving a specifically developed tool for Topography and Deformation Measurement (TDM) under thermal stress conditions. Applications are presented including delamination risk or bad solderability assessment on BGAs during JEDEC type reflow cycles.


2009 ◽  
Vol 29 (6) ◽  
pp. 1722-1724
Author(s):  
Xiao-cheng HUANG ◽  
Xi-wu WANG ◽  
Dong-sheng CHANG ◽  
Gang HE

1978 ◽  
Author(s):  
J. L. Easterday ◽  
J. E. Drennan ◽  
L. R. Albrechtson ◽  
W. Gordon

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