• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.10a
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• pp.363-366
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• 2004

본 논문에서는 공급 사슬의 경쟁력을 결정하는 중요한 요소인 외부 환경에 대응하는 유연성과 외부 환경에 반응하는 신속성에 관하여 개념적 정의, 구체적 구성 및 운영, 다차원적 이해를 기본으로 두 개념의 통합 모델인 민첩성의 모형을 정립하고, 실현 방안 등에 관하여 기업 개체에서 출발하여 전체 공급 사슬로 확장하여 분석하고자 한다.

• Annual Conference of KIPS
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• 2000.04a
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• pp.83-88
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• 2000

본 논문은 mobile agent 시스템 설계의 예를 보인다. 본 시스템 설계에서 구축될 시스템의 사양은 자연어로 묘사되어 있다고 가정한다. 본 시스템 설계 과정은 다음과 같다. 첫째, 시스템 사양으로부터 필요한 사이트들을 분별하고, 둘째, 사이트간에 송수신 되는 정보들을 분별해, 이들 정보 개체들을 각각 한 개의 agent로 구현한다. 셋째, 각 Agent가 수행할 과업을 Petri net으로 정확히 표현한다. Agent가 정의되는 위치에 따라 필요한 통신량이 좌우됨으로 통신량을 최소화시키는 관점에서 Agent 정의의 위치를 결정한다.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.41 no.1
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• pp.1-8
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• 2004

According to the development of the Internet and the pervasion of Data Base, it is not easy to search for necessary information from the huge amounts of data. In order to do efficient analysis of a large amounts of data, this paper proposes a method for pattern classification based on the effective strategy for dimension reduction for narrowing down the whole data to what users wants to search for. To analyze data effectively, Radial Basis Function Networks based on VC-dimension of Support Vector Machine, a model of statistical teaming, is proposed in this paper. The model of Radial Basis Function Networks currently used performed the preprocessing of Perceptron model whereas the model proposed in this paper, performing independent analysis on VD-dimension, classifies each datum putting precise labels on it. The comparison and estimation of various models by using Machine Learning Data shows that the model proposed in this paper proves to be more efficient than various sorts of algorithm previously used.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.13 no.3
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• pp.66-77
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• 2014

UTIS(Urban Traffic Information System) directly collects link travel time in urban area by using probe vehicles. Therefore it can estimate more accurate link travel speed compared to other traffic detection systems. However, UTIS includes some missing data caused by the lack of probe vehicles and RSEs on road network, system failures, and other factors. In this study, we suggest a new model, based on k-NN algorithm, for imputing missing data to provide more accurate travel time information. New imputation model is an adaptive k-NN which can flexibly adjust the number of nearest neighbors(NN) depending on the distribution of candidate objects. The evaluation result indicates that the new model successfully imputed missing speed data and significantly reduced the imputation error as compared with other models(ARIMA and etc). We have a plan to use the new imputation model improving traffic information service by applying UTIS Central Traffic Information Center.

• The Transactions of the Korea Information Processing Society
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• v.6 no.9
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• pp.2373-2383
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• 1999

Recently, due to the popularity of object-oriented programming languages, object-oriented modeling and development methodologies become widely applied to information system development. When object-oriented methodology is adopted, using object-oriented modeling languages for business analysis and redesign has the advantages such that business modeling results can be easily understood and referred by information system developers. In this paper, UML-B, Unified Modeling Language extension for Business modeling is proposed, which uses UML notation for modeling organization structure, actors, use cases, business processes, and entities in business systems. It also utilizes extension mechanisms of UML to facilitate business modeling activities, and supports business process reengineering with object-oriented modeling.

• The Korean Journal of Applied Statistics
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• v.10 no.2
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• pp.253-260
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• 1997

Various algorithms are investigated with respect to finding the best model-based samples according to criteria such as D-optimality and minimum mean square error. These two criteria are slightly different, but related to each other. Therefore, it is not surprising that these two are producing the almost identical samples. Some simple examples follow and critiques are provided along with directions for further research.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2002.05a
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• pp.47-50
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• 2002

산업이 발달함에 따라 대량의 화물을 빠르게 운반할 수 있는 해상운송수단의 수요가 증가하게 되고 이로 인하여 해상 선박 간 충돌사고가 빈번히 발생하게 되었다 선박 충돌은 주로 조선하는 사람들의 관습, 습관의 차이, 부주의, 판단오류 등의 이유로 발생한다. 연구자들은 선박 충돌을 방지하기 위하여 조선에 관련된 많은 부분을 지능화한 지능형 충돌회피시스템 개발에 노력을 기울이고 있다. 선박을 비롯한 자율운동체의 충돌방지 기법은 비행체, 수중운동체, 자율로봇 등 영역 특성을 달리하는 다양한 분야에서 연구되어오고 있다 기존 연구들의 충돌방지는 주로 장애물의 공간적 특성에 기반하고 있다. 이에 개체의 움직임을 예측하여 시간적 요소를 가미하면 더욱 향상된 충돌방지가 가능하다. 특히, 선박은 느린 운동 특성과 조선법, 규격화된 통신수단의 발달로 인하여 상대편 선박의 이동 예측이 용이하므로 이를 적용하여 보다 향상된 충돌방지가 가능하다. 본 연구에서는 기존의 충돌회피기법의 과정에 예측을 추가한 예측기반 충돌회피모형을 제안하고 선박운항환경을 모의실험에 의하여 해당 모형 적용시 충돌회피 경로 산출의 안전성이 크게 개선됨을 보인다.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.449-453
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• 2007

The fundamentals of FRBR model are based on the International Cataloging Principles and the AACR 3. This study investigated the adaptability of the FRBR model to serials by reviewing how the entity, attribute and relationship concept in the FRBR are applied to serials. Also This study discussed problems associated with applications of the FRBR to serials cataloging.

• The Korean Journal of Applied Statistics
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• v.2 no.2
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• pp.61-78
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• 1989

We consider the step stress life testing which has been developed in order to perform the life testing of the units whose normal life time is long within a reasonable amount of time. The models suggested for statistical analysis of the data obtained form the stress life testing are reviewed and a model which contains these models in some respect is suggested. The statistical inference based on the suggested model is done using maximum likelihood and weighted least square estimates. Finally we review the design of the simple step stress life testing and extend the result to the censoring case.

• The Korean Journal of Applied Statistics
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• v.17 no.2
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• pp.185-196
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• 2004

It is an important research area in Integrated Pest Management System to estimate the pest density within plants, because the artificial controls such as spraying pesticides or biological enemies depend on the information of pest density. This paper studies the population density distribution of two-spotted spider mite in glasshouse roses. As the data were collected repeatedly on the same subject, Subject-Specific and Population Averaged approaches are used and compared.