An efficient method for transfer cross coefficient approximation in model based optical proximity correction

2008 ◽  
Author(s):  
Romuald Sabatier ◽  
Caroline Fossati ◽  
Salah Bourennane ◽  
Antonio Di Giacomo
Keyword(s):  
Efficient Method ◽  
Optical Proximity Correction ◽  
Model Based

A Model-Based Computationally Efficient Method for On-Line Detection of Chatter in Milling

2013 ◽  
Vol 135 (3) ◽  
Author(s):  
Lei Ma ◽  
Shreyes N. Melkote ◽  
James B. Castle
Keyword(s):  
Cutting Force ◽  
Efficient Method ◽  
Frequency Estimation ◽  
Chip Thickness ◽  
Computationally Efficient ◽  
Model Based ◽  
Chatter Suppression ◽  
Force Signal ◽  
Regeneration Effect ◽  
Milling Chatter

This paper presents a model-based computationally efficient method for detecting milling chatter in its incipient stages and for chatter frequency estimation by monitoring the cutting force signals. Based on a complex exponentials model for the dynamic chip thickness, the chip regeneration effect is amplified and isolated from the cutting force signal for early chatter detection. The proposed method is independent of the cutting conditions. With the aid of a one tap adaptive filter, the method is shown to be capable of distinguishing between chatter and the dynamic transients in the cutting forces arising from sudden changes in workpiece geometry and tool entry/exit. To facilitate chatter suppression once the onset of chatter is detected, a time domain algorithm is proposed so that the dominant chatter frequency can be accurately determined without using computationally expensive frequency domain transforms such as the Fourier transform. The proposed method is experimentally validated.

Kernel Count Reduction in Model Based Optical Proximity Correction Process Models

2009 ◽  
Vol 48 (6) ◽  
pp. 06FA05 ◽  
Author(s):  
Jianliang Li ◽  
Xiaohai Li ◽  
Robert Lugg ◽  
Lawrence S. Melvin
Keyword(s):  
Process Models ◽  
Optical Proximity Correction ◽  
Model Based ◽  
Correction Process

scholarly journals RFDM- An Efficient Method for Video Tracking

2019 ◽  
Vol 9 (2S) ◽  
pp. 448-454
Keyword(s):  
Computer Vision ◽  
Object Detection ◽  
Efficient Method ◽  
Video Tracking ◽  
Future Studies ◽  
Model Based ◽  
Contour Model ◽  
Tracking Algorithms ◽  
Feature Based

Video tracking is a computer vision imperative task. Region-based, feature-based, deformable and model-based (RFDM) tracking algorithms are the four categories of Match-based video tracking type. This survey provides various techniques or methods to object detection, identification and recognition, more light on region-based tracking, dealing with occlusions and overlaps and insufficiencies in model-based tracking and contour model. Finally, various future studies have been recommended at the end of this paper.

Model-based optical proximity correction including effects of photoresist processes

1997 ◽  
Author(s):  
Jiangwei Li ◽  
Douglas A. Bernard ◽  
Juan C. Rey ◽  
Victor V. Boksha
Keyword(s):  
Optical Proximity Correction ◽  
Model Based

The application criterion of model-based optical proximity correction in a low k1 process

2005 ◽  
Author(s):  
Doo-Youl Lee ◽  
In-Sung Kim ◽  
Sung-Gon Jung ◽  
Myoung-Ho Jung ◽  
Joo-On Park ◽  
...  
Keyword(s):  
Optical Proximity Correction ◽  
Model Based
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