Design-Aware Defect-Avoidance Floorplanning of EUV Masks

Abde Ali Kagalwalla; Puneet Gupta

doi:10.1109/tsm.2012.2234151

Design-Aware Defect-Avoidance Floorplanning of EUV Masks

IEEE Transactions on Semiconductor Manufacturing ◽

10.1109/tsm.2012.2234151 ◽

2013 ◽

Vol 26 (1) ◽

pp. 111-124 ◽

Cited By ~ 8

Author(s):

Abde Ali Kagalwalla ◽

Puneet Gupta

Keyword(s):

Defect Avoidance

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Defect avoidance in a 3-D heterogeneous sensor

19th IEEE International Symposium on Defect and Fault Tolerance in VLSI Systems, 2004. DFT 2004. Proceedings. ◽

10.1109/dftvs.2004.1347826 ◽

2004 ◽

Cited By ~ 9

Author(s):

G.H. Chapman ◽

V. Jain ◽

S. Bhansali

Keyword(s):

Defect Avoidance

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Real-Time Defect Recognition and Optimized Decision Making for Structural Timber Jointing

Proceedings of the 2020 DigitalFUTURES ◽

10.1007/978-981-33-4400-6_4 ◽

2021 ◽

pp. 36-45

Author(s):

Dan Luo ◽

Joseph M. Gattas ◽

Poah Shiun Shawn Tan

Keyword(s):

Decision Making ◽

Real Time ◽

Structural Timber ◽

Image Capture ◽

Clear Wood ◽

Single Piece ◽

Common Strategy ◽

Defect Avoidance ◽

Defect Recognition ◽

Real Time Optimization

AbstractNon-structural or out-of-grade timber framing material contains a large proportion of visual and natural defects. A common strategy to recover usable material from these timbers is the marking and removing of defects, with the generated intermediate lengths of clear wood then joined into a single piece of full-length structural timber. This paper presents a novel workflow that uses machine learning based image recognition and a computational decision-making algorithm to enhance the automation and efficiency of current defect identification and re-joining processes. The proposed workflow allows the knowledge of worker to be translated into a classifier that automatically recognizes and removes areas of defects based on image capture. In addition, a real-time optimization algorithm in decision making is developed to assign a joining sequence of fragmented timber from a dynamic inventory, creating a single piece of targeted length with a significant reduction in material waste. In addition to an industrial application, this workflow also allows for future inventory-constrained customizable fabrication, for example in production of non-standard architectural components or adaptive reuse or defect-avoidance in out-of-grade timber construction.

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