• 대한임베디드공학회논문지
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• 제7권6호
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• pp.311-321
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• 2012

When developing a CPS, since it is nature of CPS to interact with a physical system, CPS should be verified during its development process by real-time simulation supporting timely interactions between the simulator and existing implemented hardwares. Furthermore, when a part of a simulated system is implemented to real hardwares, i.e., incremental development, the simulator should aware changes of the simulated system and apply it automatically without manual description of the changes for effective development. For this, we suggest a real-time simulation framework including the concept of 'port' which abstracts communication details between the tasks, and a scheduling algorithm for guaranteeing 'real-time correctness' of the simulator.

• International Journal of Advanced Culture Technology
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• 제8권1호
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• pp.82-88
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• 2020

In the face of recent digital and digital transformation, companies and industries are trying to be agile to adapt and respond to change. Agile paradigm is spreading beyond the boundaries of existing applications such as IT-related projects and software development. In this regard, this study, we analyzed the diffusion of agile paradigm by text mining abstracts of research papers from 2001 to 2019. In addition, we discussed agile transformation in the Fourth Industrial Revolution. Through this study, we confirmed that we are studying agile transformation in various fields such as business environment, corporate organizational culture, manufacturing industry, and supply chain. The results of this study will contribute to understanding the meaning and role of agile as a basic paradigm for digital transformation in the Fourth Industrial Revolution.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제15권2호
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• pp.111-120
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• 2015

Protein named entity identification is one of the most essential and fundamental predecessor for extracting information about protein-protein interactions from biomedical literature. In this paper, we explore the use of abstracts of biomedical literature in MEDLINE for protein name identification and present the results of the conducted experiments. We present a robust and effective approach to classify biomedical named entities into protein and non-protein classes, based on a rich set of features: orthographic, keyword, morphological and newly introduced Protein-Score features. Our procedure shows significant performance in the experiments on GENIA corpus using Random Forest, achieving the highest values of precision 92.7%, recall 91.7%, and F-measure 92.2% for protein identification, while reducing the training and testing time significantly.

• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2005년도 BIOINFO 2005
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• pp.101-106
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• 2005

Recently, as the size of genetic knowledge grows faster, automated analysis and systemization into high-throughput database has become hot issue. One essential task is to recognize and identify genomic entities and discover their relations. However, ambiguity of name entities is a serious problem because of their multiplicity of meanings and types. So far, many effective techniques have been proposed to analyze documents. Yet, accuracy is high when the data fits the model well. The purpose of this paper is to design and implement a document classification system for identifying entity problems using text/data mining combination, supplemented by rich data mining algorithms to enhance its performance. we propose RTP ost system of different style from any traditional method, which takes fault tolerant system approach and data mining strategy. This feedback cycle can enhance the performance of the text mining in terms of accuracy. We experimented our system for classifying RB-related documents on PubMed abstracts to verify the feasibility.

• 한국한의학연구원논문집
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• 제11권2호
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• pp.35-52
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• 2005

This study is to design a Semantic Navigation Retrieval System for Oriental Medicine Articles based on a XTM so that people can search and use them more effectively than before. Keywords extracted from articles are categorized 4 topics : herbs, prescription, disease, and action. Keywords analysis Ontology is modeled based on 4 topics and their relations, and then represented Topic maps. Next, Article analysis Ontology is consist of title, author, keywords, abstracts and organization Topics from metadata. Keywords and Article analysis Ontology were integrated through Keywords Topic. Korean Medical Article Retrieval System is optimistic in terms on search results supporting semantic navigation in the information service aspects and easier accessibility because all related information are semantically connected with each different DBs.

• 한국실내디자인학회논문집
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• 제13권4호
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• pp.56-65
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• 2004

Contemporary Architecture is showing many aspects on the ground of ecological paradigm, while, searching for a new architectural direction to make importance of environment that has been still little accounted of a subject of discussion. And 'sustainability'will become a central concept of a Contemporary architectural topic, continuously. With a demand of the time, ecological inclinations have been started to develop a collective low-rise housing project. It is going to expands several fields, but for reasons of social economic activity for human fundamental being, potentialities of basic problem solution are enough for ecologyㆍenvironment, but distinct direction and measures are still not obvious conditions. This study is for healing restoration in global environment, with architectural approach, through analyzing relation between ecological architectural space and nature, and abstracts various inter-relational aspect's specific character. the purpose of this study is another approach of intimate relation of ecological architecture and nature. Therefore, this study is significant to be on the search for a start to suggest a new point of view to ecological architectural space.

• 대한산업공학회지
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• 제38권1호
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• pp.67-73
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• 2012

Identification of meaningful patterns and trends in large volumes of text data is an important task in various research areas. In the present study we crawled the keywords from the abstracts in IIE Transactions, one of the representative journals in the field of Industrial Engineering from 1969 to 2011. We applied low-dimensional embedding method, clustering analysis, association rule, and social network analysis to find meaningful associative patterns of key words frequently appeared in the paper.

• 한국정밀공학회지
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• 제17권3호
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• pp.7-14
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• 2000

Intelligent Manufacturing Systems (IMS) Program is an industry-driven and government-endorsed initiative which assists and encourages the formation of international research consortia to address technical and other emerging manufacturing challenges in the 21$^{st}$ century$^{[1]}$ . The IMS initiative places special emphasis on the establishment of R＆D projects which demonstrate equitable cooperation, including the protection of intellectual property. In this explanatory paper, a brief overview of the IMS Program is described, together with abstracts of some selected projects and a research result of Globeman21 project. The IMS prospective is also given.n.

• 대한예방의학회:학술대회논문집
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• 대한예방의학회 2002년도 제54차 추계 학술대회 연제집
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• pp.199-199
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• 2002

• 정보관리학회지
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• 제10권1호
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• pp.97-124
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• 1993

본 논문은 자연어 형태의 한국어 텍스트 부터 주제를 대표할 수 있는 색인어를 자동으로 추출하는 실험적인 구문 . 통계적 자동색인 시스템을 구현하였다. 구문 . 통계적 자동색인 시스템은 형태소 분석과 단어 가증 기법을 이용하여 단일어와 명사구를 동시에 선택하는 자동색인 시스템을 말한다. 시스템의 성능을 측정하기 위하여, 300개의 우리말 학술 및 학위논문 초록에서 선택된 단일 . 복합어 색인어를 수작업 색인과 비교하였다. 이와 같은 실험 결과를 가지고 아직 미흡한 연구상태인 우리말 자동색인 개발에 있어서 필요한 기초자료를 제시하였다.