• IE interfaces
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• v.8 no.3
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• pp.213-220
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• 1995

공정설계는 설계와 가공에 대한 지식을 갖고 있는 사람이 부품설계 도면의 정보를 이용, 생산 현장에서 소재를 부품으로 가공하기 위하여 필요한 가공정보들을 수집, 검토하여 상세한 작업지시를 준비하는 일련의 활동이라고 할 수 있다. 따라서 공정설계는 제품을 경제적, 효율적으로 생산하는데 필요한 체계적인 결정방식이며, 설계와 가공사이의 정보흐름을 원활하게 하여 제조공정상의 교량역할을 하는 핵심적인 부분이므로, 본 논문에서는 첨단생산시스템을 구현하기 위한 차세대가공시스템의 소과제중 하나인 "지적공정계획기술" 과제에서 기존에 상용화된 CAD/CAM(Compu-ter Aided Design / Manufacturing)시스템을 이용하여 설계와 가공의 정보를 체계화하고 지식 베이스화하여 설계정보가 생산현장까지 이어질 수 있도록 개발중인 컴퓨터를 이용한 공정설계자동화시스템(CAPP : Computer Aided Process Planning)에 대하여 기술하고자 한다.

• IE interfaces
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• v.8 no.3
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• pp.75-95
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• 1995

ISO (International Standard Organization)에서는 산업전반에 걸친 다양한 제품의 설계, 해석, 생산, 그리고 관리에 필요한 모든 제품정보를 정의하는 STEP (Standard for the Exchange of Product model data) 표준을 1983년부터 추진하고 있으나, 이를 지원하는 상용 프로그램들은 아직 초기 단계에 있어 이들을 활용하여 시스템 통합을 구현 할 수 없다. 본 연구에서는 현재 STEP에서 부분적으로 정의되어 있는 현상, 형상 특징, 공차, 프로세스, 그리고 제품 관리 정보 등을 통합하여, CAD, CAPP, 그리고 MRP 시스템 간에 정보를 교환하는 프로토타입을 개발하였다. EXPRESS로 표현된 통합 정보 모델은 STEP의 공통자원에 새로운 엔티티와 속성을 추가하여 구성하였고, IGES 파일 변환기, STEP 파일 에디터, 그리고 데이타베이스 인터페이스를 통하여 통합 정보를 저장하고 교환한다.

• Journal of Intelligence and Information Systems
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• v.2 no.1
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• pp.27-44
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• 1996

컴퓨터통합생산 시스템의 실현을 위한 중요한 분야의 하나의 부품설계도면으로부터 최종제품을 생산 하는데 필요한 공정계획의 자동화, 즉 컴퓨터지원 자동공정계획(Computer Aided Process Planning ; CAPP) 시스템 기술의 개발이다. 국내외적으로 금형가공 부품을 대상으로 한 CAPP 시스템의 개발은 비교적 저조하므로, 본 연구에서는 사출금형 부품을 대상으로 하여 실용성이 있는 공정계획 전문가시스템 개발을 목적으로 한다. 본 연구에서 금형 공정계획전문가의 경험적 지식을 기반으로 한 사출금형부품의 공정계획 전문가시스템인 MOLDCAPP을 개발하였다. MOLDCAPP 시스템은 도면정보로부터 형상정보를 자동적으로 인식하여 공정계획의 기능 중에서 가동공정, 가공공정 순서, 공작기계 및 절삭공구를 자동적으로 결정한다. 개발된 MOLDCAPP 시스템은 실제 사례연구를 통하여 그 타당성을 분석하였다.

• Journal of KIISE:Software and Applications
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• v.27 no.1
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• pp.33-40
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• 2000

Computer Aided Process Planning (CAPP) plays a key role by linking CAD and CAM. Given CAD data of a part, CAPP has to recognize manufacturing features of the part. Despite the long history of research on feature recognition, its research results have rarely been transferred into industry. One of the reasons lies in the separation of feature recognition and process planning. This paper proposes to integrate the two activities through AI techniques, and presents efforts for manufacturable feature recognition, setup minimization, feature dependency construction, and generation of an optimal machining sequence.

• KASI NEWSLETTER
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• s.22
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• pp.1-4
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• 2000

광학천문학 워크샵 2000 성황리에 마쳐/소형망원경을 이용한 천체관측 연구 워크샵 개최/지역천문대 하반기 관측일정 확정000년 하계 교원연수/2000년 하계 교원연수 실시/새로운 홈페이지로 교체/연구원 방문의 날 행사 실시/CFH와의 국제공동 운영에 관한 MOU 체결 의의/IAU 24차 정기 총회 소식/외국의 천문대 현황-BBSO 태양관측소/CAPP 2000 conference를 다녀와서/콜로키움/소백산 천문대의 어제와 오늘

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.06a
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• pp.997-1000
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• 2005

Dynamic job shop environment requires not only more flexible capabilities of a CAPP system but higher utility of the generated process plans. In order to meet the requirements, this paper develops an algorithm that can select machines for the machining operations to be performed by predicting the machine loads. The developed algorithm is based on the multiple objective genetic algorithm that gives rise to a set of optimal solutions (in general, known as Pareto-optimal solutions). The objective shows a combination of the minimization of part movement and the maximization of machine utility balance. The algorithm is characterized by a new and efficient method for nondominated sorting, which can speed up the running time, as well as a method of two stages for genetic operations, which can maintain a diverse set of solutions. The performance of the algorithm is evaluated by comparing with another multiple objective genetic algorithm, called NSGA-II.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1994.04a
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• pp.653-659
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• 1994

Human experts have the various own knowledges to be applied in specialized domains. The fact that knowledge itself becomes more critical in the context of textile knowledge with rapid development of new fibers, automated equipments, processes and applications. Diversity of worsted spun yarns, lack of human expertise, and inconsistency among manually generated process plans in consequency of adjustment machine parameters owing to change up raw materials frequently increase the necessity of developing computer aided process planning(CAPP) systems for spinning process. Expert systems offer one of techniques to develop CAPP systems which would behave in a knowledgeable manner. Expert systems are the problem-solving computer program that can reach a level of performance comparable to that of a human expert in some specialized problem domain. This paper is described as job justification module. The job justification module performs to consult with users on which worsted spun yarn manufacturing process planning under the various factors, e.g., raw materials, machine parameters and required yarn counts. Also, the developed module informs the various knowledges relevant process planning. The job justification module offers the control parameters at each process and includes the various standard process plans as database. These knowledges are generated by facts and rules within rule bases.

• YAKHAK HOEJI
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• v.41 no.1
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• pp.81-85
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• 1997

Ceramide has been suggested as an important mediator of the effects of extracellular agonists on cell growth inhibition, differentiation, apoptosis. However the biochemical sign aling mechanism involved in transducing the effects of ceramide on leukemia cell differentiation is still unclear. In these respects, we examined the regulatory effects of ceramide on c-jun gene expression during differentiation. In U-937 cells. ceramide increased c-jun mRNA levels in a time-dependent manner. The half life, of c-jun mRNA was 30 min. In contrast, inhibition of protein synthesis with cycloheximide in the absence, of transcription with actinomycin D increased the half-life of c-jun mRNA in ceramide-treated U-937 cells to more than 90 min. In order to examine whether ceramide-inhibited c-jun gene expression is regulated through ceramide-activated protein phosphatase (CAPP), a direct target for the action of ceramide, okadaic acid were treated to the cells. Okadaic acid inhibited enhancement of c-jun mRNA induced by C2-ceramide in a dose-dependent manner. These results suggested that ceramide increases c-jun mRNA level during differentiation in U-937 cells and regulates the gene expression on posttranscriptional level. In addition, we provide the evidence that CAPP is involved in ceramide-induced c-jun gene expression in U-937 cells.

• Journal of the Society of Naval Architects of Korea
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• v.30 no.2
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• pp.1-12
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• 1993

The role of product model in CIM environemt(where such heterogenous application programs as CAD, CAE, CAM, Database, and Expert Systems are included) is system integration. Product model manages all the information related to manufacuring activities. This information includes shapes, operation, process, scheduling, quality, and mangement. Product model architecture includes product model kernel, object schema, model manipulation language, and user interface. Objects to be shared are defined using the model manipulation luage and the defintions are saved in the object schema. In this paper, we present the design and implementation of a prototype. In this prototype, application programs for CAPP(Computer Aided Process Planning) are used.

• The Journal of Information Systems
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• v.8 no.1
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• pp.27-44
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• 1999

Case-Based Reasoning(CBR) offers a new approach for developing knowledge based systems. CBR has several research issues which can be divided into two categories : (1) static issues and (2) dynamic issues. The static issues are related to case representation scheme and case data model, that is, focus on casebase which is a repository of cases. The dynamic issues, on the other hand, are related to case retrieval procedure and problem solving process, i.e. case adaptation phase. This research is forcused on retrieval procedure Traditional query processing accepts precisely specified queries and only provides exact answers, thus requiring users to fully understand the problem domain and the casebase schema, but returning limited or even null information if the exact answer is not available. To remedy such a restriction, extending the classical notion of query answering to approximate query answering(AQA) has been explored. AQA can be achieved by neighborhood query answering or associative query answering. In this paper, neighborhood query answering technique is used for AQA. To reinforce the CBR process, a new retrieval procedure(cooperative CBR) using neighborhood query answering is proposed. An neighborhood query answering relaxes a query scope to enlarge the search range, or relaxes an answer scope to include additional information. Computer Aided Process Planning(CAPP) is selected as cooperative CBR application domain for test. CAPP is an essential key for achieving CIM. It is the bridge between CAD and CAM and translates the design information into manufacturing instructions. As a result of the test, it is approved that the problem solving ability of cooperative CBR is improved by relaxation technique.