• 한국방재학회:학술대회논문집
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• 2010.02a
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• pp.69.1-69.1
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• 2010

본 연구는 교량 시설물의 재난방지를 위한 정보시스템의 구축에 있어 선행되어야 하는 교량 구조계산서 항목 저장정보의 질적 향상을 위해 XML 스키마 매칭 기법을 효율적으로 활용할 방법에 대해 제시하였다. 이를 위하여 XML 스키마 매칭에 사용되는 가중치 변화에 따른 매칭 정확도를 나타내는 데이터를 구축하고, 이를 활용하여 데이터 마이닝 기법 중 하나인 의사결정나무 모델을 구현하여 교량의 형식, 문서가 포함하고 있는 항목의 수, 문서를 작성한 회사에 따라 달라질 수 있는 최적의 가중치를 지동으로 선정할 수 있는 프로세스를 제안하였다. 의사결정나무 모델을 통해 결정한 매칭 가중치는 이전에 비하여 약 10% 정확도 상승효과가 있음을 알 수 있었다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.8B
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• pp.562-568
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• 2005

The content of this paper is concerned with the pricing decision model when the new telecommunication service enter into market. The pricing decision model of firm level is based on the problems of the previous service pricing model that are abstracted from the literature survey. We suggest a new pricing model and prove the model's fitness using the way of empirical simulation study. We empirically apply the proposed model to obtain the price level of such a new service as the convergence service between mobile communication service and broadcasting service. finally, we prove that the proposed model is successful because we get the new . service price based on the pricing decision model suggested in this paper.

• The Korean Society of Law and Medicine
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• v.20 no.2
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• pp.43-82
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• 2019

In Korea surrogate medical decision makings happen without legal grounds. The purpose of this article is to research the issues in preparing policies for decision-making on behalf of unrepresented patients. As aspects of comparative law, there are two approaches. One of them is to regulate default surrogate list. If no agent or guardian has been appointed, some legislatures provide that members of patient's family who is reasonably available, in descending order of priority of not, may act as surrogate: (1) the spouse, unless legally separated; (2) an adult child; (3) a parent; or (4) an adult brother or sister. If none of them is eligible to act as surrogate, some legislatures allow close friends to make health-care decisions for adult individuals who lack capacity. On the other hand there are other legislatures which provide no surrogate decision maker list but oblige the responsible authority to determine with advice of family members or friends of the patient. In the end the first approach can not guarantee that the surrogate decision maker like family members or friends will determine in the best interest of the patient.

• The Journal of the Korean dental association
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• v.36 no.9 s.352
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• pp.631-634
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• 1998

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.4
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• pp.894-899
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• 2007

IT Outsourcing has been take place for ages and its range has expanded. The cases are also often take place more but there are a few criteria for making decision of IT outsourcing project. Companies tend to take IT outsourcing as a trend or to follow competitor's IT outsourcing project. This study suggests the criteria for IT outsourcing project before going into the project. The criteria ate to describe what function of the companies need to take outsourcing. Research model is driven by Statistics and AHP method. Also, variables are presented for clear making decision. This model allows the companies find proper IT outsourcing type and conveniences.

• The Korean Journal of Applied Statistics
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• v.35 no.4
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• pp.517-525
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• 2022

In the era of big data, various data mining techniques have been proposed as major analysis methodologies. As complex and diverse data is mass-produced, data mining techniques have attracted attention as a method that forms the foundation of data science. In this paper, we focused on the decision tree, which is frequently used in practice and easy to understand as one of representative data mining methods. Specifically, we analyzed the effect of the splitting method of decision trees on the model performance. We compared the prediction power and structures of decision tree models with different split methods based on various simulated data. The results show that the linear combination split method can improve the prediction accuracy of decision trees in the case of data simulated from nonlinear models with complex structure.

• Journal of the Korean Society of Clothing and Textiles
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• v.19 no.1
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• pp.96-103
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• 1995

의류산업의 효율성 (efficiency) 제고를 위한 중요한 결정의 한가지는 상품생산지 및 생산방법 즉 생산지 결정전략(sourcing strategy)에 관한 것이다. 점차 생산의 대상지역과 방법이 다양해짐에 따라 이는 복잡한 의사결정체계를 요하게 퇸다. 본 연구는 생산지 결정의 의사결정과정에서 흔히 중요시되는 생산비용 이외에 비생산비용, 즉 거래비응(transaction cost)으로 포현될 수 있는 인자를 분석하고자한다. 이를 위해 미국 의류, 신발 산업의 생산지 결정의 첫단계로서 해외기지생산과 국내생산의 문제점을 비교하였다. 의류산업과 신발산업에 있어 적시공급과 품질관리가 생산지에 관계없이 공통된 문제점으로 지적되었고 의류산업의 겋우 노동력 부족과 재료의 공급이 국내생산의 문제점으로, 오랜생산기일과 생산국가의 환경적요소(예를 들면, 정치적 불안정, 정부규제 등)가 해외기지생산의 특이한 문제점으로 지적되었다. 본 연구는 비국의 의류, 신발 산업을 대상으로 한 것이나, 최근 저가의 노동력을 찾아 동남아 또는 남미로 생산지를 이전하는 국내 의류, 신발업체들이 급격히 증가하고 있음을 감안할 때, 우리 산업에도 시사하는 바가 크다고 할 수 있다.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.24 no.69
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• pp.133-143
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• 2001

가공조건은 가공비용과 시간을 줄이고 제품의 품질을 결정하는데 영향을 주는 주요 요인중의 하나이다. 본 논문에서는 밀링 공정을 위한 작업설계(Operation Planning) 시스템에서, 가공조건을 지속적으로 향상시키기 위한 새로운 방법론을 제안한다. 제안된 방법론은 밀링 작업에 대하여 (1) 퍼지 아트맵 신경회로망 모델에 의해 가공조건을 실시한 학습하고 (2) 교체 알고리즘이라 불리는 새로운 알고리즘을 포함한다. 제안된 교체 알고리즘은 기존의 학습 정보보다 효율적인 새로운 가공조건이 얻어졌을 때 이를 이용하여 기존의 학습 정보보다 효율적인 새로운 가공조건이 얻어졌을 때, 이를 이용하여 기존의 학습 정보를 대체하는 기능을 수행한다. 본 논문에서는 우선 작업설계 시스템의 전반적인 기능을 간략히 소개한 후 제안된 방법론에 의한 의사결정 과정을 자세히 기술한다. 또한, 다양한 시뮬레이션을 통하여 제안된 방법론의 의한 의사결정 과정을 자세히 기술한다. 또한, 다양한 시뮬레이션을 통하여 제안된 방법론의 성능을 예시하도록 한다.

• Journal of Korea Game Society
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• v.9 no.5
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• pp.117-125
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• 2009

In real-time strategy simulation (RTS) game each team is composed of agents and executes strategies to win other team. Strategy needs agents' cooperation in each team. This needs multi-agent system (MAS). Centralized decision making, one of decision making in MAS, selects actions not to agents but to team by a coordinated agent. Decentralized decision making costs high because each agent communicates with each other. In this paper we propose a system which controls agents by grouping and allocates roles through negotiation by a coordinated agent. Then, when one of allocated actions is not executed or failed, a coordinated agent allocates its role to another agent. We make experiments in starcraft, famous RTS game. When a proposed method is applied, the performance of attack and defense is increased. The improved agents' team wins eight times per ten games.

• Investigative Magnetic Resonance Imaging
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• v.3 no.2
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• pp.179-187
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• 1999

Purpose : This paper introduces a computationally inexpensive context-dependent classification of multi-echo MRI with Bayes compound decision model. In order to produce accurate region segmentation especially in homogeneous area and along boundaries of the regions, we propose a classification method that uses contextual information of local enighborhood system in the image. Material and Methods : The performance of the context free classifier over a statistically heterogeneous image can be improved if the local stationary regions in the image are disassociated from each other through the mechanism of the interaction parameters defined at he local neighborhood level. In order to improve the classification accuracy, we use the contextual information which resolves ambiguities in the class assignment of a pattern based on the labels of the neighboring patterns in classifying the image. Since the data immediately surrounding a given pixel is intimately associated with this given pixel., then if the true nature of the surrounding pixel is known this can be used to extract the true nature of the given pixel. The proposed context-dependent compound decision model uses the compound Bayes decision rule with the contextual information. As for the contextual information in the model, the directional transition probabilities estimated from the local neighborhood system are used for the interaction parameters. Results : The context-dependent classification paradigm with compound Bayesian model for multi-echo MR images is developed. Compared to context free classification which does not consider contextual information, context-dependent classifier show improved classification results especially in homogeneous and along boundaries of regions since contextual information is used during the classification. Conclusion : We introduce a new paradigm to classify multi-echo MRI using clustering analysis and Bayesian compound decision model to improve the classification results.