Hierarchical mask data design system (PROPHET) for aerial image simulation, automatic phase-shifter placement, and subpeak overlap checking

1997 ◽  
Author(s):  
Eiji Tsujimoto ◽  
Takahiro Watanabe ◽  
Yoshio Sato ◽  
Akemi Moniwa ◽  
Yoshinobu Igarashi ◽  
...  
Keyword(s):  
Phase Shifter ◽  
Aerial Image ◽  
Design System ◽  
Image Simulation ◽  
Automatic Phase ◽  
Data Design

Photomask quality assessment strategy at 90-nm technology node with aerial image simulation

2003 ◽  
Author(s):  
Yoshikazu Nagamura ◽  
Kunihiro Hosono ◽  
Linyong Pang ◽  
Kevin K. Chan ◽  
Yoshio Tanaka
Keyword(s):  
Quality Assessment ◽  
Aerial Image ◽  
Image Simulation ◽  
Assessment Strategy ◽  
Technology Node

Enhancement of hierarchical mask data design system (PROPHET)

1999 ◽  
Author(s):  
Takahiro Watanabe ◽  
Eiji Tsujimoto ◽  
Keiji Maeda ◽  
Hiroshi Fukuda
Keyword(s):  
Design System ◽  
Data Design

scholarly journals Detection of Vehicular Traffic Using Convolutional Neural Networks

2019 ◽  
Vol 8 (10) ◽  
pp. 1423-1426
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Recognition System ◽  
Aerial Images ◽  
Aerial Image ◽  
Detection Methods ◽  
Design System ◽  
Detection Process ◽  
Present Generation ◽  
Successful Design

— In present generation the detection of vehicle using aerial images plays an important role and mot challenging. The video understanding, border security are the applications of aerial images. To improve the performance of the system different detection methods are introduced. But these methods take more time in detection process. To overcome these convolutional neural network are introduced which will produce the successful design system. the main intent of this paper is to present the recognition system for aerial images using convolutional neural network. The proposed method improves the accuracy and speed after the detection process. At last aerial image is obtained by matching the image and textual description of classes.

scholarly journals MULTI-AGENT PARALLEL IMPLEMENTATION OF PHOTOMASK SIMULATION IN PHOTOLITHOGRAPHY

2014 ◽  
pp. 45-54
Author(s):  
Syarhei M. Avakaw ◽  
Alexander A. Doudkin ◽  
Alexander V. Inyutin ◽  
Aleksey V. Otwagin ◽  
Vladislav A. Rusetsky
Keyword(s):  
Parallel Implementation ◽  
Graph Model ◽  
Computing System ◽  
Aerial Image ◽  
Image Simulation ◽  
Time Dynamic ◽  
System A ◽  
Parallel Image Processing ◽  
Parallel Image ◽  
Multi Agent

A framework for paralleling aerial image simulation in photolithography is proposed. Initial data for the simulation representing photomask are considered as a data stream that is processed by a multi-agent computing system. A parallel image processing is based on a graph model of a parallel algorithm. The algorithm is constructed from individual computing operations in a special visual editor. Then the visual representation is converted into XML, which is interpreted by the multi-agent system based on MPI. The system performs run- time dynamic optimization of calculations using an algorithm of virtual associative network. The proposed framework gives a possibility to design and analyze parallel algorithms and to adapt them to architecture of the computing cluster.

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