• Proceedings of the Korean Society of Precision Engineering Conference
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• 1994.04a
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• pp.443-448
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• 1994

As a basic step of interfacing CAD and CAM, it is required to convert thedrawing data into manufacturing information automatically. In this study the developed system carries out feature recognition from the orthographic views of press mold containing various pockets. Using rhe recognized output data, 3 dimension- al model is built using ADS and AME in order to check the result of recognition. The system consists of 4 main parts, suchas, Preprocessing, Coordinate handling, Feature recognition and 3D-modeling. The system shows a good application example which can interface the design and manufacturing stage in CAD/CAM system on PC level

• Journal of the Korean Society for Precision Engineering
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• v.16 no.2 s.95
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• pp.68-73
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• 1999

Generally, most of machining processes are done according to the dimention of the draft made by CAD. However, there are many cases that a sample is given without the draft because of the simplicity of the shape in the machining of 2D objects. To cut the same shape as the given sample, this paper proposes the method to extract the geometric information about a large sample using the robot vision and to draw the demensional draft for the machining. Because the resolution of one frame in the vision system is too low, it is necessary to set up a camera according to the desired resolution and to capture the image moving along the contour. And the overall outline can be compounded of the sequentially captured images. In the experiment, we compared the product after the cutting with the original sample and found that the size of two objects was coincided within the allowed error bound.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.34S no.11
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• pp.114-125
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• 1997

This paper presents a method that automatically recognizes dimension sets from the mechanical drawings, and that classifies 6 types dimension sets according to functional purpose. In the proposed method, the object and closed-loop symbols are separated from the character-free drawings. Then object lines and interpretation lines are vectorized. And, after recognizing dimension sets(consistings of arrowhead, shape line, tail lines, extension lines, text-string, and feature control frame), we classify recognized dimension sets as horizontal, vertical, angular, diametral, radial, and leader dimension sets. Finally the proposed method converts classified dimension sets into AutoCAD data by using AutoLisp language. By using the methods of geometric modeling, the proposed method readily recognized and classifies dimension sets from complex drawings. Experimetnal results are presented, which are obtained by applying the proposed method to drawings drawn in compliance with the KS drafting standard.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.48 no.10
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• pp.1349-1355
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• 1999

A power distribution facility map is drawn on cadastral map. Besides, grid lines are added on the map for sectionalization. For automatic recognition of the map, we first extract recognizing regions. In this paper, we propose an extraction method of recognizing regions by partially extending thinned image. The proposed method is consist of three phases, binarization phase, thinning phase and partial extending phase. The first phase generate a binary image using threshold value which is obtained by histogram analysis. The binary image contains many part of recognizing regions, but not all. The second phase generate thinned image which is generated by appling thinning operator to the binary image. And the third phase extends thinned image from terminal point until satisfying termination condition. The proposed method is tested on several power distribution facility maps, and the results are presented.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.34S no.10
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• pp.120-131
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• 1997

This paper prsents a new method that automatically recognizes the dimension lines (consisting of shape lines, tail lines and extension lines) from the mechanical drawings. In the proposed method, the object and closed-loop symbols are separated from the character-free drawings. Then the object lines and interpretation lines are vectorized by using several techniques such as thinning, line-vectorization, and vector-clustering. Finally, after recognizing arrowheads by using pattern matching, we recognize dimension lines from interpretation lines by using arrohead's directional vector and centroid. By using the methods of geometric modeling and mathematical operation, the proposed method readility recognizes the dimension lines from complex drawings. Experimental resuls are presented, which are obtained by applying the proposed method to drawings drawn in compliance with the KS drafting standard.

• Spatial Information Research
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• v.2 no.2
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• pp.175-188
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• 1994

A competitive learning network was proposed as unsupervised training method of remote sensing data, Its performance and computational re¬quirements were compared with conventional clustering techniques such as Se¬quential and K - Means. An airborne remote sensing data set was used to study the performance of these classifiers. The proposed algorithm required a little more computational time than the conventional techniques. However, the perform¬ance of competitive learning network algorithm was found to be slightly more than those of Sequential and K - Means clustering techniques.

• Convergence Security Journal
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• v.6 no.2
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• pp.1-11
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• 2006

The files of intellectual property on computer systems have increasingly been exposed to such threats that they can be flowed out by internal users or outer attacks through the network. The File Outflow Protection System detects file outflow when users not only copy files on client computers into storage devices, but also print them. This Protection system has been designed to Win32 API hooking by I/O Manager in kernel level if files are flowed out by copying. As a result, the monitoring system has exactly detected file outflows, which is proved through testing.

• CDE review
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• v.3 no.2
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• pp.52-58
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• 1997

제품 개발 환경을 자세히 들여다보면, 고객의 요구 또는 창조된 새로운 제품의 컨셉(Spec)을 사람(개발자)이 도구(설계경험, CAD)를 이용해서 업무수행절차(업무처리규정, 부서별 역할)에 따라 제품을 정의(모양, 크기, 구조)하는 것을 설계행위로 볼 수 있고, 이러한 활동의 결과로써 도면 Mock-up, 각종 Document가 만들어지고 이러한 매체가 부서간, 업무공정간 의사소통의 수단으로 이용되고 있다. 여기서 CAD를 없애서는 안될 개발의 도구로 인식하고 이용하는데, 일반적으로 경쟁력있는 제품을 개발하기 위한 노력의 일환으로 3차원 CAD시스템을 도입하여 적용해 오고 있다. 현재의 3차원 CAD시스템들은 공통적으로 솔리드(Solid) 근간에, FEATURE 개념을 수용하면서 PARAMETRIC 또는 VARIATIONAL 모델링 기법을 채택하여 설계자들에게 다양한 기능을 제공하고 있다. 그러나 3차원 CAD 시스템을 적용하여 만족할 만한 결과를 얻어내기란 간단한 문제가 아니다. 본 고에서는 당 사업장에서 개발한 무선전화기 및 FAX에 3차원 설계를 적용한 사례를 중심으로, 3차원 설계에 대한 허와 실을 살펴보고 3차원 설계가 나아가야 할 방향에 대해 생각해 보고자 한다. 참고로 당 사업장은 디자인, 기구설계, 금형설계까지는 I-DEAS, CAM 작업은 CATIA를 이용하고 있다.

• Journal of Intelligence and Information Systems
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• v.2 no.2
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• pp.55-68
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• 1996

인공 지능의 주요 분야 중 하나의 전문가시스템 기술은 현재 산업현장에서 여러 가지 분야의 문제해결에 이용되고 있다. 본 논문은 축 대칭 원통형 제품의 deep drawing 공정 설계를 위한 전문가시스템 DOX(Deep drawing Opertion eXpert)의 개발에 관한 것이다. 시스템의 입력은 원통형 제품의 형상 정보와 재질 정보이며 자동 인식 또는 수동입력의 방법으로 입력된다. 시스템은 이러한 정보를 받아들여 deep drawing 공정설계에 필요한 다수의 요소들을 결정하며, 최종결과로서 process layout 도면을 CAD 시스템에서 자동 출력한다. 개발된 전문가시스템의 지식베이스는 산업 분야 전문가의 전문 지식과 경험지식을 획득, 분석하여 구성하였으며, 추론 전략으로는 규칙기반추론(rule-based reasoning)을 이용하였다.

• Proceedings of the KIEE Conference
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• 1999.07g
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• pp.2914-2916
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• 1999

A power distribution facility map is composed of distribution facility information regions, cadastral regions and grid lines. In this map, our goal is automatic interpretation of power distribution region. For the goal, it is the first work to extract the power distribution facility region. In this paper, we propose a method to extract power distribution facility regions. The proposed method is consist of two phases, binarization phase and extending phase. The first phase generate a power distribution facility image using threshold value. The image contains many part of power distribution facility regions, but not all. The second phase extends thinned image which is generated by appling thinning operator to the power distribution facility image.