Fuzzy Logic Connectivity in Semiconductor Defect Clustering
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Fuzzy Logic Connectivity in Semiconductor Defect Clustering
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| Id. |
46379568 |
| Idioma |
inglés
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| Titulo |
Fuzzy Logic Connectivity in Semiconductor Defect Clustering |
| Autor(es) |
Thomas Karnowski Shaun
Shaun S. Gleason
Kenneth W. Tobin
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| Localización |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.30.9846
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| Versión |
1.0 |
| Estado |
Final
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| Descripción |
In joining defects on semiconductor wafer maps into clusters, it is common for defects caused by different sources to overlap. Simple morphological image processing tends to either join too many unrelated defects together or not enough together. Expert semiconductor fabrication engineers have demonstrated that they can easily group clusters of defects from a common manufacturing problem source into a single signature. Capturing this thought process is ideally suited for fuzzy logic. A system of rules was developed to join disconnected clusters based on properties such as elongation, orientation, and distance. The clusters are evaluated on a pair-wise basis using the fuzzy rules and are joined or not joined based on a defuzzification and threshold. The system continuously re-evaluates the clusters under consideration as their fuzzy memberships change with each joining action. The fuzzy membership functions for each pair-wise feature, the techniques used to measure the features, and meth...
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| Tipo |
application/pdf
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| Palabras clave |
Fuzzy logic
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| Tipo de recurso |
Texto Narrativo
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| Tipo de Interactividad |
Expositivo
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| Nivel de Interactividad |
muy bajo
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| Audiencia |
Estudiante
Profesor
Autor
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| Estructura |
Atomic |
| Coste |
no
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| Copyright |
sí
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Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
| Formatos |
application/pdf
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| Requerimientos técnicos |
Browser: Any
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| Relación |
[IsBasedOn] http://www-ismv.ic.ornl.gov/publications/3306-05.pdf
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| Fecha de contribución |
24-jul-2009 |
| Contacto |
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