• Proceedings of the KSME Conference
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• 2005.11a
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• pp.205.1-205.1
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• 2005

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1993.04b
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• pp.375-379
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• 1993

공정계획(process planning)이란 제품에 대한 설계정보 및 제한된 가용자원에 대한 정보를 바탕으로 비용, 생산량을 고려하여 원자재를 원하는 형태로 변형시키기 위한 방법의 체계적인 결정과정이라 할 수 있으며, 생산계획(production planning: scheduling)이나 작업계획(operation planning)과 연계하여 설계와 생산을 연결하는 교량 역할을 수행한다. 이러한 공정계획 작업을 컴퓨터에 의해 자동화하기 위한 컴퓨터 원용 공정계획(computer aided process planning : CAPP)은 변환적 방식(variant approach)에서 시작되어 창생적 방식(generative approach)으로 발전되어 왔으며 인공지능 기법을 응용 한 지식기반 CAPP(knowledge based CAPP) 방식에 이르기 까지 CAM-1's CAPP, APPAS, GARE, SIPS, XCUT등 수많은 연구가 행해 졌다. 본 연구에서는 자동차 부품 업체인 K사의 공정계획 사례를 바탕으로 범용성이 있는 개방형 공정계획 시스템의 개발을 목표로 한다. 본 시스템에서 i) 설계정보는 객체지향에 의해 표현된 형상특징을 사용하고 ii) 공정계획은 국부적 공정계 획과 전체적 공정계획 과정(golbal planning)으로 구별하였고 iii) 공정계획을 위한 정보는 지식 베이스(knowledge base : KB) 와 데이타 베이스(data base : DB)로 구분하였다. 또한 iv) 정보의 모듈화를 통하여 임의의 제조라인에 적합하도록 개방형을 추구하였다.

• Journal of Korea Spatial Information System Society
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• v.1 no.1 s.1
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• pp.5-18
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• 1999

Recently, the necessity of automatic knowledge extraction from spatial data stored in spatial databases has been increased. Spatial data mining can be defined as the extraction of implicit knowledge, spatial relationships, or other knowledge not explicitly stored in spatial databases. In order to extract useful knowledge from spatial data, an object management system that can store spatial data efficiently, provide very fast indexing & searching mechanisms, and support a distributed computing environment is needed. In this paper, we designed and implemented an open object management system for spatial data mining, that supports efficient management of spatial, aspatial, and knowledge data. In order to develop this system, we used Open OODB that is a widely used object management system. However, the lark of facilities for spatial data mining in Open OODB, we extended it to support spatial data type, dynamic class generation, object-oriented inheritance, spatial index, spatial operations, etc. In addition, for further increasement of interoperability with other spatial database management systems or data mining systems, we adopted international standards such as ODMG 2.0 for data modeling, SDTS(Spatial Data Transfer Standard) for modeling and exchanging spatial data, and OpenGIS Simple Features Specification for CORBA for connecting clients and servers efficiently.

• The Journal of the Korea Contents Association
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• v.14 no.9
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• pp.428-436
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• 2014

The convergence technology of ICT(Information & Communication Technology) in agriculture is the main key of the future agricultural industry. Recently, many that by using big data it can improve crop growth-circumstance and agricultural Industry. However, the data of crop growth-circumstance has been not shared and operated separately by individual farm. Therefore, it is necessary to build the LOK(Linked Open Knowledge) system for Quality of Farming & Farm product. We research previous studies for big data and development of the corp growth-circumstance using big data system case. Also, we suggest to build LOK system for improving the domestic agricultural industry.