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. 06, 2004

Filed:

Feb. 07, 2003
Applicant:
Inventors:

Peter Eldredge, Scotts Valley, CA (US);

Patrick Y. Huet, San Jose, CA (US);

Robinson Piramuthu, San Jose, CA (US);

Sandeep Bhagwat, Milpitas, CA (US);

Kai Chi, San Jose, CA (US);

Kai Liu, Santa Clara, CA (US);

Martin Plihal, Pleasanton, CA (US);

Shaio Roan, Cupertino, CA (US);

Maruti Shanbhag, Sunnyvale, CA (US);

Assignee:

KLA-Tencor Corporation, Milpitas, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 1/750 ;
U.S. Cl.
CPC ...
G06F 1/750 ;
Abstract

A system for determining an assigned classification for a set of physical events on a substrate. Sensors sense the physical events on the substrate and produce event data. A plug in rule module manager receives and manages any number of plug in rule modules. Each plug in rule module has an input, a local filter, an analyzer, and an output. The input receives the event data and confidence values from preceding plug in rule modules. The local filter analyzes the received confidence values from the preceding plug in rule modules and selectively by passes the plug in rule module based at least in part upon the received confidence values from the preceding plug in rule modules. The analyzer analyzes the event data in view of a given classification associated with the plug in rule module, and assigns a confidence value based at least in part upon how well the event data fits the given classification. The output provides the confidence value to subsequent plug in rule modules. A post processor receives the confidence values provided by the plug in rule modules, and makes a final selection of the assigned classification to be associated with the set of physical events from the given classifications based at least in part upon a comparison of the confidence values produced by all plug in rule modules.


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