International Journal of

Soft Computing and Software Engineering [JSCSE]

ISSN: 2251-7545

Prefix DOI : 10.7321/jscse

URL: http://JSCSE.com

A Peer-Reviewed Journal

The International Journal of

Soft Computing and Software Engineering [JSCSE]

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Table of Contents [Vol. 2, No.12, December 2012]

Software Architecture and Subclassing Technique for Semiconductor Manufacturing Machines

HyungTae Kim, HaeJeong Yang
Doi : 10.7321/jscse.v2.n12.1
Page : 1 - 12

Show Summary

Abstract . This paper proposed software architecture for operating an automatic semiconductor manufacturing machine. Recent machines for semiconductor process are required for high level of automation which are composed of motion control, machine vision, data acquisition and networking. These functions are executed through industrial equipments that are generally installed in a computer. The equipments occupy a great part of system resource and generate a lot of computation, so the software structure should be designed for efficiency. The proposed architecture is consisted of four layers and virtual equipments(VEs). The VEs are made by subclassing the physical equipments(PEs) and the layers are coded into thread which updates the status of VEs. Subroutines in a program refer to the pointer of VEs, and direct access to physical equipment are prohibited. The number of access (NOA) to PEs in typical industrial application was simulated for the unlimited access structure and the presented structure. The result showed that the proposed structure was more efficient than typical ones and irrespective of subroutines. This architecture was also applied to design a machine operating software and performed automatic wafer dicing.
Keyword : Virtual Equipment ; Subclassing ; Industrial Applications ; Hardware Interface ; Semiconductor Manufacturing ; Wafer Dicing

Registration of Remote Sensing Image with Polar Sin Transform-based Descriptor

Meng YI, Bao-long GUO
Doi : 10.7321/jscse.v2.n12.2
Page : 13 - 20

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Abstract . In this paper a fast registration of remote sensing image with polar sin transform based descriptor is proposed. The main characteristics of the proposed method include: (1) Several new methods are presented to realize fast and accurate interest points extraction under various different scenes, include image scale space construction based on integral image, interest points controlling based on uniform distribution, (2) Through comparing the euclidean distance of the PST (polar sin transform) descriptors defined on the corner neighborhoods, the corresponding matches are established. Experiment results illustrate that the proposed algorithm carries out real-time image registration and is robust to large image translation, scaling and rotation.
Keyword : image registration; integral image; uniform distribution; polar sin transform;