• The Transactions of the Korea Information Processing Society
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• v.6 no.11S
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• pp.3356-3366
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• 1999

Electric commerce system based on distributed mobile on object such as mobile agents need both precise identification and secure authentication scheme on remotemobile entities. In this paper, existing discrete logarithm based Schnorr like entity authentication schemes are improved by the analysis of performance and security on the bi-directional interactive proofs. And ElGamal like schemes are also proposed. Then, there are enhanced with oblivious transfer based mono-directional authentication schemes based on trusted third party for applying to the mobile agent based computing systems. Therefore, proposed schemes provide compatible performance and safety on mobile entity authentication process.

• Journal of the Korean Society for Precision Engineering
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• v.16 no.7
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• pp.132-143
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• 1999

In this study, an intermediate model is presented as a new method for development of a parametric simulation program. This model enables us to analyze effectively the static and dynamic structure of a real production system. The static structure of the real system can be modelled in an entity-relationship diagram and the dynamic structure of the real system in a Petri net. The intermediate model consists of an entity-relationship diagram and a Petri net. Using this intermediate model man can not only reduce the time and cost for simulation program development, but also increase the modelling reliability of the developed simulation program. To show the usefulness of this intermediate model. the intermediate models for two production subsystems, manufacturing sub-system and transport subsystem, are set up.

• 한국어정보학회:학술대회논문집
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• 2017.10a
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• pp.330-332
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• 2017

개체명 인식(Named Entity Recognition, 이하 NER)은 인명(PS), 기관명(OG), 장소(LC), 날짜(DT), 시간(TI) 등에 해당하는 개체명에 일정한 태깅 값을 주어 그 정보를 가시화하는 작업이다. 한국어 개체명 인식은 아직 그 자질이 충분히 밝혀져 있지 않아 자연어 처리 분야의 발전을 더디게 하는 한 요소로 작용하고 있다. 한국어가 음절 기반으로 단어를 형성하고 비교적 어순이 자유롭다는 특성이 있기에, 이런 특징을 잘 포착할 수 있는 "음절 기반의 Convolutional Neural Network(CNN)"의 아키텍쳐를 제안하여 66.80%의 성능을 보였다. 이 방법을 사용하면 형태소 분석등 개체명 이전 단계에서 발생하는 오류에 의해 개체명 인식(NER)의 성능이 떨어지는 문제를 해결할 수 있고, 조사나 어미 등을 제거하기 위한 후처리를 생략할 수 있다.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.23 no.4
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• pp.25-44
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• 2012

This study analyzed the current condition of authority control, introduced the MADS(Metadata Authority Description Schema) for authority data. MADS supports encoding an authority description for a agent(person, organization), event, term(topic, temporal entity, genre, geographic entity, hierarchical geographic entity, occupation) and defines main elements, subelements, and attributes using the XML schema language. Lastly, using the MADS's characteristics, this study proposed the effective use plans of interoperability of authority data.

• Interdisciplinary Bio Central
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• v.3 no.3
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• pp.9.1-9.5
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• 2011

Entity Attribute Value (EAV) is the widely used solution to represent high dimensional and sparse data, but EAV is not search efficient for knowledge extraction. In this paper, we have proposed a search efficient data model: Optimized Entity Attribute Value (OEAV) for physical representation of high dimensional and sparse data as an alternative of widely used EAV. We have implemented both EAV and OEAV models in a data warehousing en-vironment and performed different relational and warehouse queries on both the models. The experimental results show that OEAV is dramatically search efficient and occupy less storage space compared to EAV.

• Proceedings of the Korean Society for Language and Information Conference
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• 2007.11a
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• pp.349-357
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• 2007

Named entities (NEs) are important in many Natural Language Processing (NLP) applications, and discovering NE-related relations in texts may be beneficial for these applications. This paper proposes a method to extract the ISA relation between a "named entity" and its category, and an IS-RELATED-TO relation between the category and its related object. Based on the pattern extraction algorithm "Person Category Extraction" (PCE), we extend it for solving our problem. Our experiments on Wall Street Journal (WSJ) corpus show promising results. We also demonstrate a possible application of these relations by utilizing them for semantic search.

• Proceedings of the Korean Information Science Society Conference
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• 2002.10d
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• pp.676-678
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• 2002

질의 응답 시스템(Question Answering: QA)에서 정답 유형 부류(Answer Type Taxonomy: ATT)란 사용자 질문 분석을 위한 미 부류 체계를 의미하는 것으로, ATT의 크기가 클수록 시스템의 성능은 높아진다. ATT를 확장하기 위해서는, 개체(Named Entity)에 의미 범주를 결정하는 개체 분류기(Named Entity Tagger의 분류 체계가 세분되어야 하는데, 기존의 개체 분류기는 한문서 내에서 그 개체의 분류를 시도하기 때문에, 분류를 위한 문맥 정보의 양이 부족하여, 정확하고 상세한 분류를 기대하기 힘들다. 본 논문에서는 동일 개체에 대한 문맥 정보를 수집하기 위해, 그 개체가 나타나는 다른 문서들을 검색하는 개체 피드백 Named Enti쇼 Feedback)이라는 기법을 사용한다. 개체가 상세히 분류됨에 따라 ATT도 확장될 수 있었으며, 이렇게 확장된 ATT상에서의 정답 추출은 baseline보다 약 7%정도의 성능 향상을 보여, 개체 피드백의 효과를 확인할 수 있었다.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 1998.04a
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• pp.191-198
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• 1998

An entity-based integrated design model can be used to organize and represent information and activities involved in design. The model involves a number of product and process entities. Product entities describe design information, and process entities describe design activities. The relationships among entities Includes organizational, interaction, and sequence relationships. The paper focuses interaction relationships among design information. The interaction relationships can be represented as constraints. Types of constraints includes demand constraints, dependency constraints, and interaction constraints. The paper describes dependency and Interaction constraints. The concepts of representing and processing dependency and interaction constraints in an entity-based integrated design model are presented.

• Journal of Industrial Technology
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• v.25 no.A
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• pp.123-131
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• 2005

Semantic object model has widely been recognized as an alternative data modeling approach to entity-relationship model for database system design. In this study, we have presented a semantic object model for intermediary type shopping mall consisting of multiple buyers and sellers. Essential processes and information with regard to the customer management, product management, price estimation, product order etc. have been considered for this study. Upon careful examination and analysis of them, a detailed semantic objects and attributes have been drawn and structured into semantic object diagrams. The final objects were converted into an entity-relationship diagram so that intuitive comparison could be made for relational database design. The results in this study may form a conceptual framework for both academic concerns and more complicated system applications.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.43 no.3
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• pp.171-177
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• 2017

Amniotic constriction band is a rare clinical entity with varied manifestations that range from a combination of congenital malformations to isolated malformations that are unique to each patient. The etiology of this entity remains unknown. Herein, we highlight two cases of amniotic constriction band that presented to our unit with unique clinical characteristics. To the best of our knowledge, an isolated circumferential band of scarring on the face with ocular involvement, as demonstrated by the first case, and a combination of bilateral complete cleft lip and palate with bilateral microphthalmia, auto-amputation of the right thumb, and a constriction band on the left thumb, as demonstrated by the second case, are extremely rare presentations of amniotic constriction band that were not previously reported in the literature and therefore necessitate a special mention. We discuss potential etiologies for these cases and review the existing literature on this entity.