• 한국CDE학회논문집
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• 제9권3호
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• pp.226-237
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• 2004

If the topology changes in the re-generation step of the history-based and feature-based CAD systems, it is difficult to identify an entity in the old model and find the same entity in the new model. This problem is known as 'persistent naming problem'. To exchange parametric CAD models, the persistent naming problem and the naming mapping problem must be solved among different CAD system, which use different naming scheme. For CAD model exchange the persistent naming has its own characteristics compare to that for CAD system development. This paper analyses previous researches and proposes a solution to the persistent naming problem for CAD model exchanges and to the naming mapping problem among different naming schemes.

• 한국CDE학회논문집
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• 제11권1호
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• pp.27-40
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• 2006

The exchange of parameterized feature-based CAD models is important for product data sharing among different organizations and automation systems. The role of feature-based modeling is to gonerate the shape of product and capture design intends In a CAD system. A feature is generated by referring to topological entities in a solid. Identifying referenced topological entities of a feature is essential for exchanging feature-based CAD models through a neutral format. If the CAD data contains the modification history in addition to the construction history, a matching mechanism is also required to find the same entity in the new model (post-edit model) corresponding to the entity in the old model (preedit model). This problem is known as the persistent naming problem. There are additional problems arising from the exchange of parameterized feature-based CAD models. Authors have analyzed previous studies with regard to persistent naming and characteristics for the exchange of parameterized feature-based CAD models, and propose a solution to the persistent naming problem. This solution is comprised of two parts: (a) naming of topological entities based on the object spore information (OSI) and secondary name (SN); and (b) name matching under the proposed naming.

• 지능정보연구
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• 제24권3호
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• pp.243-262
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• 2018

데이터 베이스 스키마 통합은 정보 시스템에서 매우 중요한 이슈이다. 스키마 통합은 시간과 노력이 상당히 많이 필요하기 때문에 그동안 많은 연구들은 자동화된 스키마 통합 시스템을 구축하기 위해 노력했다. 하지만 지금까지의 연구에서는 XML을 소스 스키마로 사용하고 여전히 많은 부분을 데이터 베이스 관리자의 개입이 필요하도록 남겨두었다. 예를 들면, 스키마 통합 시 발생하는 관계명 명칭 충돌과 같은 문제는 데이터 베이스 관리자가 직접 개입하여야 해결할 수 있었다. 이 논문에서는 스키마 통합 시 발생하는 관계명 명칭 충돌을 해결하기 위해 관계명을 자동으로 생성해주는 알고리즘을 소개한다. 이 알고리즘은 인터넷 연어(Collocation) 사전과 영어 예문을 기반으로 한다. 사전 데이터를 기반으로 하여 추출한 예문들을 자연어처리 과정을 통해 분석한 후 두 엔티티 사이의 관계명을 생성한다. 반자동화된 스키마 통합 시스템을 구축하여 이 알고리즘을 테스트해보았으며 그 결과 약 90%의 정확도를 나타냈다. 이 알고리즘을 적용하면 스키마 통합 시에 데이터 베이스 관리자의 개입을 최소화할 수 있으며 이는 자동화된 스키마 통합 시스템을 구축하는 데에 큰 도움이 될 것이다.

• Journal of Information Processing Systems
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• 제5권2호
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• pp.69-76
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• 2009

Self healing systems are considered as cognation-enabled sub form of fault tolerance system. But our experiments that we report in this paper show that self healing systems can be used for performance optimization, configuration management, access control management and bunch of other functions. The exponential complexity that results from interaction between autonomic systems and users (software and human users) has hindered the deployment and user of intelligent systems for a while now. We show that if that exceptional complexity is converted into self-growing knowledge (policies in our case), can make up for initial development cost of building an intelligent system. In this paper, we report the application of AHSEN (Autonomic Healing-based Self management Engine) to in OKKAM Project infrastructure backbone cluster that mimics the web service based architecture of u-Zone gateway infrastructure. The 'blind' load division on per-request bases is not optimal for distributed and performance hungry infrastructure such as OKKAM. The approach adopted assesses the active threads on the virtual machine and does resource estimates for active processes. The availability of a certain server is represented through worker modules at load server. Our simulation results on the OKKAM infrastructure show that the self healing significantly improves the performance and clearly demarcates the logical ambiguities in contemporary designs of self healing infrastructures proposed for large scale computing infrastructures.