The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 29, 2014

Filed:

Mar. 21, 2011
Applicants:

Hiroyuki Higuchi, Kawasaki, JP;

Hidetoshi Matsuoka, Kawasaki, JP;

Inventors:

Hiroyuki Higuchi, Kawasaki, JP;

Hidetoshi Matsuoka, Kawasaki, JP;

Assignee:

Fujitsu Limited, Kawasaki, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/50 (2006.01); G01R 27/28 (2006.01); G01R 31/10 (2006.01); G01R 31/14 (2006.01);
U.S. Cl.
CPC ...
G06F 17/5009 (2013.01); G06F 17/5045 (2013.01); G06F 17/5081 (2013.01); G06F 2217/02 (2013.01); G06F 2217/10 (2013.01); G06F 2217/12 (2013.01); G06F 2217/14 (2013.01); G01R 27/28 (2013.01); G01R 31/10 (2013.01); G01R 31/14 (2013.01);
Abstract

A parameter correction method includes: obtaining, from a variability-aware simulation, a simulation result value of a predetermined product performance for a reference candidate value set concerning statistics of predetermined product characteristics; calculating a likelihood by substituting the reference candidate value set, the obtained simulation result value, statistics of measurement values of the predetermined product characteristics and a measurement value of the predetermined product performance into a likelihood function that is defined from a probability density function for the statistics of the predetermined product characteristics and a probability density function for the predetermined product performance, and is a function to calculate a combined likelihood of the statistics of the predetermined product characteristics and the predetermined product performance; and searching for a reference candidate value set in case where the calculated likelihood becomes maximum, by carrying out the obtaining and the calculating plural times while changing the reference candidate value set.


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